A Low-Cost Policy for Reducing Methane Emissions in the Oil and Gas Industry

A Low-Cost Policy for Reducing Methane Emissions in the Oil and Gas Industry | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Physical Sciences - Article A Low-Cost Policy for Reducing Methane Emissions in the Oil and Gas Industry Valerio Dotti, Giacomo Benini, Geir Drage Berentsen, Håkon Otneim, and 9 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6440450/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Methane emissions from the oil and gas sector are a major contributor to global warming, yet current mitigation policies often underperform due to weak enforcement and misaligned incentives. This study proposes a two-pillar policy reform to reduce routine flaring, venting, and leaks at low cost. The first pillar is a revenue-neutral tax shift from natural gas to oil, which incentivizes responsible gas management while minimizing financial impacts on firms, consumers, and governments. The second pillar enhances the cost-effectiveness of methane detection by transforming monitoring from a regulatory liability into a financial opportunity. Using U.S. oilfield data (2005–2020), we estimate that the first pillar alone could cut 90% of venting and reduce the industry’s greenhouse gas emissions by 27.73% — equal to 95,000 metric tons of CO₂-equivalent per day. The approach is scalable across diverse contexts, including OPEC and low-income countries. Earth and environmental sciences/Environmental social sciences/Climate-change policy Earth and environmental sciences/Environmental social sciences/Climate-change mitigation Earth and environmental sciences/Environmental social sciences/Environmental economics Figures Figure 1 Figure 2 Full Text Main text . The elimination of methane emissions is one of the most significant goals that policymakers can prioritize to meet the Paris Agreement climate targets 1 . The combination of a short lifespan, high global warming potential, and positive commercial value makes their abatement a cost-effective way to limit the concentration of greenhouse gases (GHG) in the atmosphere 1 . The oil and gas industry is a major methane emitter 2 , releasing an estimated 79.5 megatons of methane into the atmosphere in 2023 alone 3 . Most of these emissions derive from an associated commodity channel. Hydrocarbon reservoirs contain a mixture of oil and natural gas. In many regions, the cost of capturing, purifying, and transporting natural gas exceeds its market price and/or the opportunity-cost of reusing it on site. Therefore, natural gas is either burnt off via flare stacks, releasing both carbon dioxide and methane or vented into the atmosphere, releasing methane 4 . Together, these two practices account for roughly 3% of global natural gas production and about 7% of global energy-related GHG emissions 5,6,7,8 . Because recovering the currently wasted natural gas requires lower investments than most other GHG emission reduction strategies 9 , many policymakers regard reducing flaring and venting as a cost-effective, readily achievable measure for climate change mitigation 10 . To address both practices, the World Bank launched the Global Gas Flaring Reduction Partnership (GGFRP) in 2015. To date, 36 governments, 58 oil and gas companies, and 15 development banks have signed the Zero Routine Flaring by 2030 Initiative 11 . The main goal of this intergovernmental partnership is to eliminate flaring practices through voluntary governmental regulation while explicitly stating that venting is “not an acceptable substitute for flaring” 11 . Calel and Mahdavi question the effectiveness of the GGFRP approach 12 . Using satellite data, they show that in areas where flaring has declined, methane emissions have increased, suggesting that oil and gas companies may be shifting to venting to comply with GGFRP flaring standards. This outcome reflects the multitask nature of the regulatory challenge: while the objective is to minimize flaring, venting, and unintended methane leaks, regulation focused on only one of these goals could undermine the progress made towards the others 13 . This limitation leads to two unintended consequences. First, anti-flaring regulation makes flaring relatively more expensive than venting, incentivizing producers to vent gas that would otherwise have been flared (see supplementary materials [SM], section 3.8). Second, anti-flaring and anti-venting policies increase the costs of voluntary gas disposal, discouraging investment in equipment maintenance and leak detection (see SM, section 2.1). As a result, GGFRP-like agreements risk failing to achieve meaningful climate benefits — or even worsening emissions — since methane has a significantly higher global warming potential than carbon dioxide 9 . To make GGFRP-like agreements effective, regulators must overcome three key challenges. First, they need reliable and cost-effective data on firms’ methane emissions — an issue that has long hindered enforcement. Historically, methane tracking technologies faced a fundamental trade-off: aerial and satellite detection, though scalable, lacked the precision to attribute emissions to specific sources, whereas in-situ monitoring, though more accurate, was prohibitively expensive for large-scale deployment. However, recent technological advances are rapidly shifting this paradigm, improving both the precision and scalability of methane detection. As high-resolution data become increasingly accessible, the core challenge shifts from measurement to designing regulatory frameworks that can use these data in a cost-effective and enforceable way 14 . Second, regulators must ensure that measured emissions can be legally attributed to specific firms 15 . This is straightforward when pollution originates from a “discernible, confined, and discrete conveyance” 16 — a so-called point externality 17 . However, methane emissions rarely fit this category. Instead, they stem from a network of dispersed sources — wells, burners, pipelines, and storage tanks — often owned or insured by different firms operating within the same oilfield 18 . This creates a non-point externality problem, akin to agricultural runoff pollution 19,20 , for which proposed solutions have proven challenging to implement due to legal and political obstacles 21 . Compounding the challenge, anthropogenic methane emissions are interwoven with natural methane fluctuations from soil and wetlands, which vary over time and obscure source-specific accountability, reinforcing methane’s legal traceability problem 14 . Third, regulators face three political economy barriers when implementing standard solutions like Pigouvian taxation or carbon pricing. Unilateral adoption of these measures would likely: reduce consumer purchasing power 22 , weaken the global competitiveness of domestic firms 23 , and, most critically, trigger carbon leakage, shifting emissions to jurisdictions with weaker regulations 23 . As a result, even with widespread adoption of advanced detection technologies, meaningful regulatory action would face intense political resistance and be undermined by cross-border regulatory arbitrage and free-riding. Calel and Mahdavi suggest a potential tax incentive scheme as a response to these challenges, asserting that “it is the pairing of a tax on production [...] with a subsidy for the safest form of disposal […] that provides a cost-effective solution to the multitask problem” 12 . However, their discussion remains largely conceptual and does not provide a methodological framework to guide policymakers in designing or evaluating such a reform. Policy Design Building on this foundational idea, the present study develops a two-pillar reform package that directly addresses the interlinked challenges of measurement, legal traceability, and political economy — offering a concrete, ready-to-implement policy solution. We build on the work of Masnadi et al. 24 by developing a multi-country, dynamic general equilibrium model featuring four types of agents: (1) oil and gas firms, which are central to the model and make profit-maximizing decisions regarding extraction (see SM, Section 1.1); (2) refineries, natural gas processing facilities, and power plants (SM, Section 1.2); (3) consumers (SM, Section 1.3); and (4) governments (SM, Section 1.4). Crucially, the core environmental insights of our analysis do not rely on this complex structure: these findings remain valid even within a static, partial equilibrium framework in which only oil and gas firms are modeled. However, the more comprehensive general equilibrium approach enables us to investigate a wider range of “second-order” effects, including impacts on energy prices, consumer welfare, international trade, government revenues, and firm competitiveness. It also allows us to account for potential unintended consequences commonly associated with environmental policy, such as carbon leakage 23 and dynamic distortions — often referred to as the “green paradox” 25 . Within our modeling framework, the management of natural gas co-extracted with oil plays a crucial role in shaping the economic and environmental outcomes of oil production. When a certain quantity of oil is extracted, a corresponding amount of natural gas — determined by the reservoir’s gas-oil ratio — is co-extracted. Firms have five main options for handling the co-extracted natural gas: sale, reinjection, onsite use, flaring, or release into the atmosphere. We categorize flaring into routine and non-routine. Routine flaring refers to gas combustion for non-essential safety and maintenance operations. Released natural gas is further classified into venting (operators opening O&G systems) and leaking (gas escaping from supposedly closed O&G systems). Venting refers to deliberate actions, such as opening oil tanks, ignoring detected leaks, or failing to repair flare stacks to meet flaring regulations. Leaking, on the other hand, refers to both the unintentional and intentional release of gas due to aging equipment, inadequate maintenance, or safety-related pressure relief measures. Given the inherent trade-off between minimizing leaks and ensuring worker safety 18 , an effective regulatory approach should eliminate routine flaring and venting while reducing — but not entirely prohibiting — leaking. Our two-pillar policy is designed to strike this balance effectively. First Pillar: Tax Reform . We propose a revenue-neutral, stakeholder-friendly tax reform, designed to drastically reduce routine flaring and venting (RF&V) while minimizing societal costs. This reform prevents unintended flaring-venting substitution, incentivizes investment in equipment maintenance, and does so without reducing corporate profits, consumer income, or government revenue, nor causing significant distortions in competition among firms (see SM, section 2.1). It maintains equilibrium prices for oil, natural gas, and derivative products, avoids carbon leakage, and is compatible with existing fossil fuel tax structures in many countries, including the United States (see SM, section 5.3). At the core of the proposed reform is a strategic adjustment of two taxes to align economic incentives with environmental objectives: A homogeneous tax reduction on natural gas sales for all oil producers to offset the cost of selling unprofitable gas. This reduction is uniform across producers and depends on the RF&V reduction target set by policymakers. To fully eliminate RF&V, the tax reduction should equal the maximum net cost of selling otherwise unprofitable gas within a given jurisdiction. A heterogeneous tax increase on oil sales to reflect the environmental risks associated with gas mismanagement. This increase is calculated by multiplying the natural gas sales tax reduction by the oilfield’s gas-oil ratio, ensuring that oilfields with higher gas content bear a proportionally higher tax burden. Since gas-oil ratios vary, the tax increase will differ across oilfields, aligning costs with environmental impact. These adjustments work in opposite directions: the reduction in gas sales tax ensures firms are rewarded for responsible gas management, while the increase in oil sales tax internalizes the environmental cost of gas mismanagement. A firm that eliminates all voluntary gas waste receives full compensation, ensuring that profitability and optimal oil production levels remain unaffected. Additionally, a minor adjustment to the specific tax on gas sales by gas-only fields ensures that equilibrium prices remain unchanged. The reform does not introduce new fines or fees based on measured or traced methane emissions. Second Pillar: Methane Monitoring . While the tax reform reduces RF&V, it does not directly target leaks. However, by reshaping the economic incentives around natural gas recovery, it fundamentally alters how oil and gas firms respond to external methane detection. Under the existing regulatory framework, firms have little incentive to act on third-party methane leak reports because selling the gas is typically unprofitable and voluntary disposal is penalized. Additionally, any improvement in the regulator’s ability to detect methane emissions further weakens this incentive, partially limiting the potential emission reductions despite advancements in methane tracking technology (see SM, section 2.1). The first pillar of the reform removes these perverse incentives and replaces them with a self-reinforcing economic mechanism. After the tax reform is implemented, recovering leaked methane becomes financially advantageous, eliminating the need for punitive enforcement or legal disputes. Instead of regulators bearing the burden of pinpointing individual emitters, they only need to detect methane emissions in a given area and notify all firms operating within it. Because every firm in the vicinity now benefits from methane recovery, market forces — not regulation — will drive rapid response to leaks and promote investment in equipment maintenance (see SM, section 2.1). This shift has profound implications for methane monitoring. Real-time emissions data from satellites, aerial detection, and independent monitoring systems — previously seen as a regulatory risk — become an asset for firms. Instead of treating methane detection as a compliance risk, firms have now a direct financial incentive to integrate external monitoring data into their daily operations. As a result, full transparency in methane emissions reporting — often contentious under conventional approaches — becomes the optimal industry strategy. Moreover, firms are incentivized to recover all economically viable gas while ensuring worker safety is not compromised. Unlike conventional policies that attempt to eliminate leaks through strict enforcement, our approach acknowledges that some leakage may be unavoidable due to safety constraints. By allowing firms to balance leak minimization with operational safety, the policy ensures that firms recover as much gas as possible without endangering workers. While the second pillar — unlike the first — entails non-trivial costs due to the investment required in methane detection technology, it enables a more cost-effective use of those resources compared to the current regulatory framework. Policy Outcome As a case study, we examine what would have happened if the United States — the largest oil and gas producer in the world — had implemented our proposed tax reform ( First Pillar ) from 2005 to 2020. This period was specifically chosen because it provides the only timeframe with consistent treatment of all the micro-data necessary for our research. Utilizing a comprehensive dataset that includes production decisions from 556 onshore oilfields, we estimate the policy’s outcome. The first step in evaluating the impact of the proposed tax reform is to disentangle venting from leaking. To separate these two quantities, we use the firm’s equilibrium conditions to identify a venting lower bound . This identification strategy minimizes the risk of overestimating the impact of our policy proposal (see SM, section 3.8). Then, we quantify routine flaring, venting, and leaks using a two-step estimation strategy. Using a panel Tobit I model, the first step calculates the expected change in volumes of routine flaring resulting from changes in the price of natural gas (see SM, section 4.1). The second step estimates a venting lower bound using a linear panel regression model, where the quantity of unsold and unflared natural gas is a function of the flaring status of oilfields, the price of natural gas, the flaring-venting substitution effect (obtained as the residual of the first step), the expected level of maintenance, the level of oil production, and the volumes of natural gas (re-)injected to maintain reservoir pressure or used onsite to generate heat or electricity (see SM, section 4.2). Energy Waste. By combining the results of the first and second estimation steps, we derive field-level estimates of total energy waste and its underlying components, enabling us to quantify the energy and associated environmental savings that the proposed tax reform could deliver (see SM, section 4.3). For the case study, our calculations indicate that, on average, 2.78% of the total energy from oil and natural gas extraction was wasted — equivalent to 197,000 Barrel of Oil Equivalent per Day (BOE/Day). Routine flaring accounted for 86,000 BOE/Day, or 1.23% of all extracted energy. Venting contributed 33,000 BOE/Day (0.47%), non-routine flaring 1,000 BOE/Day (0.02%), and leaking 76,000 BOE/Day (1.07%). These waste quantities are sensitive to changes in natural gas prices: for every $1/BOE increase in nominal gas prices, routine flaring decreases by 1.74 BOE/Day, venting by 2.37 BOE/Day, and leaking by 0.68 BOE/Day. Figure 1 presents the geolocation and estimated composition of natural gas waste across the oilfields analyzed. Table 1: Average Economic and Energy Outcomes of the First Pillar Taxation. Table 1 presents the economic and energy-related effects of the proposed tax reform, based on the venting lower bound obtained using the two-step methodology. The “Venting Savings” column represents the volume of vented gas targeted for elimination, while the “Gas Sale Tax” column shows the corresponding reduction in natural gas sales tax, which ranges from -$2.03/BOE (9.6% of the average market price from 2005 to 2020, equal to $21.14/BOE) to -$78.63/BOE (373.2% of the average market price). Although each firm’s oil production levels and, consequently, equilibrium oil prices remain unaffected across all venting reduction targets, other economic outcomes may vary depending on the specific target chosen. Notably, the subsidy remains below 100% of the average market price until the 90% methane savings threshold, suggesting that up to 90% of venting can be eliminated without generating sizeable incentives for oilfields to purchase gas externally and falsely claim it as recovered from their own production (see SM, section 5.2). Moreover, the reform imposes minimal costs on oil and gas companies, even when venting reduction targets are set below 100%. Specifically, the average tax compensation at the industry level starts at 92.36% for the 10% methane saving goal and increases progressively as the target becomes more ambitious. This means that for all targets of 10% and above, the median net cost of the policy remains below $0.64 per BBL of crude extracted — less than 1% of the average oil market price. Consequently, for all the partial venting reduction targets ranging from 10% to 90%, the tax scheme produces economic effects comparable to those of the 100% target, namely minimal to no losses for consumers, shareholders, and the government, while requiring a relatively modest tax adjustment. At the 90% venting reduction target, the corresponding oil tax increase remains moderate relative to existing severance taxes, striking the optimal balance between tax adjustment and emission reduction. For the most common oil formation — with a gas-oil ratio of 0.29 BOE of natural gas per barrel of oil — the additional oil tax required is $5.88/BBL. In Texas, the current oil severance tax is 4.6% of the market value, which translates to $3.10/BBL at an average price of $67.30/BBL. The proposed tax increase would therefore be nearly 1.9 times the current rate. Similar proportional effects apply to North Dakota, where the oil extraction tax is set at 5%. Energy Savings. Each venting reduction target is associated with energy savings. The “Routine Flaring” column reflects the daily amount of natural gas that would otherwise have been flared but can now be recovered, while the “Venting & Leaks” column measures the direct reduction in methane emissions. Finally, the “Total Energy Savings” column quantifies overall efficiency gains, calculated as total routine flaring and venting savings relative to total extracted hydrocarbons (oil plus natural gas). At the recommended 90% venting reduction target, the proposed policy enables energy savings equivalent to 0.81% of total extracted hydrocarbons — a meaningful gain in operational efficiency. These savings are almost evenly split between reductions in routine flaring (33,824 BOE/day) and cuts in venting and leaks (30,285 BOE/day). This level of recovery not only reduces waste but also enhances the overall energy return from hydrocarbon extraction. Environmental Savings. Table 2 presents the environmental benefits associated with the venting reduction scenarios from Table 1. The “Carbon Dioxide” section quantifies the reduction in CO 2 emissions from gas that would otherwise be burned in flares. In environmental terms, the 90% target translates into substantial emissions reductions. Daily flaring-related savings amount to 18.67 metric tons of CO 2 -equivalent, while methane savings — which dominate due to methane’s higher global warming potential — reach 214 metric tons CO 2 -equivalent/Day. These results reflect the nonlinear nature of venting abatement: while early reductions yield modest environmental benefits, eliminating the bulk of emissions leads to disproportionately large climate gains. Table 2: Average Environmental Outcomes of the First Pillar The “Total Emission Savings (%)” column captures the overall reduction in emissions from natural gas mismanagement — including non-routine flaring, routine flaring, venting, and leaks. At the recommended 90% venting reduction target, total emissions savings reach 27.73%. This marks a significant climate benefit compared to earlier targets: for example, the 10% reduction scenario yields only 4.29%, while a 50% cut delivers 15.97%. Pushing beyond 90% to full elimination results in marginal additional gains, reaching 31.94% in total. These results underscore the increasing marginal impact of deeper venting reductions, with particularly steep improvements between 80% and 90%. Figure 2 summarizes these trade-offs by showing how oil and gas taxation compares to absolute and relative emissions reductions at four key targets: 10%, 50%, 90%, and 100%. The estimates presented in Tables 1 and 2 are deliberately conservative along four dimensions. First, our identification strategy is designed to capture a lower bound on the policy’s effect. Second, we assume a 98% flare stack efficiency rate — the industry standard — although recent evidence suggests it could be as low as 91% (4) . If the lower efficiency estimate holds, flaring-related emissions savings under the 100% reduction scenario would increase by approximately 11,000 tons of CO 2 -equivalent per day due to higher methane retention in flared gas. Third, the reform explicitly channels recovered natural gas from oilfields to replace production from gas-only fields, thereby maintaining constant aggregate supply. However, regulators could alternatively incentivize recovered gas as a substitute for coal by imposing a modest tax on coal purchases by power plants — equivalent to roughly $0.01/BOE. Leveraging the inter-fuel elasticity of substitution in the power sector, this alternative approach could reduce emissions by an additional 23,000 tons of CO 2 -equivalent per day (see SM, sections 5.4 and 5.5). Fourth, we exclude any emissions savings from the second pillar of the reform, as current data do not permit a reliable assessment of regulatory effectiveness in detecting methane leaks. Policy Implications The combined effect of the first and second pillars sets this reform apart from Pigouvian taxation, emissions markets, and other less conventional incentive schemes 26 in both technical enforcement and political economy. On the technical side, traditional approaches often struggle with two intertwined problems: measurability and legal traceability. Because they rely on detecting and penalizing small, deliberate methane emissions, these mechanisms are vulnerable to misreporting and difficult to enforce. The first pillar of the proposed reform directly overcomes these challenges by shifting the regulatory focus to oil and gas sales, which are reported in firms’ income statements. These sales are intentional, easily monitored, and already subject to taxation in most jurisdictions, ensuring high enforceability. Moreover, the gas-oil ratio of an oilfield — a key indicator of associated gas volumes — can be measured accurately using test separators and validated through established empirical formulas 27 . This effectively resolves the traceability issue by anchoring regulation to observable and legally verifiable production metrics. On the political economy side, traditional approaches often encounter resistance from both industry stakeholders and the public. Instruments such as Pigouvian taxes and emissions markets directly increase costs for producers and consumers, often leading to resistance from firms seeking to avoid profit losses and consumers opposing higher energy prices. Likewise, subsidies increase government spending and typically face pushback from taxpayers. By contrast, the first pillar avoids these pitfalls by preserving the overall tax burden on oil and gas producers while redistributing it across their outputs. By shifting part of the fiscal pressure from co-extracted natural gas to oil sales, and keeping oil and natural gas prices unchanged, the reform protects firms’ net profits and prevents negative effects on consumers and state budgets. This makes the policy more politically acceptable across a broad coalition of stakeholders, from industry to voters. The reform also circumvents one of the most persistent obstacles to unilateral climate action: the threat of carbon leakage and competitiveness loss. Standard carbon pricing mechanisms can incentivize firms to relocate production to jurisdictions with laxer regulations, thereby undermining both environmental and economic goals. Solutions like carbon border adjustments require complex international negotiations and often face legal challenges under World Trade Organization rules 28 . In contrast, the first pillar does not affect trade exposure or product prices and can be implemented unilaterally without distorting global competitiveness or triggering regulatory arbitrage. Additionally, the reform’s structure is highly scalable to different institutional and market environments. It maintains its corrective incentive structure whether the market is competitive or oligopolistic, and it remains effective whether the industry is composed of private firms or dominated by state-owned enterprises. This adaptability makes it particularly suitable for countries with diverse industrial arrangements, including those with significant participation in the Organization of Petroleum Exporting Countries (OPEC). Lastly, the modular two-pillar structure, along with the flexibility provided by various venting reduction targets, makes the reform highly adaptable to different economic and institutional conditions. While the first pillar can be implemented with minimal costs and limited regulatory capacity, the second pillar involves a more ambitious commitment, introducing targeted monitoring of methane emissions based on recent advances in detection technologies. Although this component requires upfront investment, it enables a more efficient and strategic deployment of resources compared to existing enforcement models. Crucially, the ability to phase in the second pillar over time enhances the overall political feasibility of the reform. Governments can choose to adopt the first pillar independently, securing meaningful emissions reductions without incurring major administrative or financial burdens. This makes the reform particularly attractive for developing countries, where institutional capacity and budgetary space may be constrained. Meanwhile, higher-income countries with stronger regulatory infrastructure may find it both politically and fiscally viable to implement both pillars simultaneously, achieving deeper and more durable climate gains. By allowing for gradual scaling and tailoring to national contexts, the reform avoids the all-or-nothing logic that has stalled previous efforts and creates a pragmatic pathway toward global methane mitigation. Conclusion Our solution is not the most theoretically efficient mechanism for tackling methane emissions , as it is deliberately designed to avoid impacting oil and gas production levels and prices. However, it offers a cost-effective, politically resilient, and easily implementable strategy to significantly reduce routine flaring, venting, and — depending on the accuracy of methane monitoring systems — leaks (see SM, sections 5.1–5.2). Moreover, it is compatible with and can be implemented alongside other incentive schemes, particularly those aimed at encouraging firms to voluntarily disclose their emissions 26 . Even if alternative policy frameworks are adopted, two key insights from our analysis remain broadly applicable. First, standard anti-flaring and anti-venting policies may have limited or even counterproductive effects on methane emissions, potentially leading to unintended consequences such as flaring-venting swap and carbon leakage. To address these issues effectively, policymakers should prioritize methane-specific, second-best incentive schemes that directly target the root causes of emissions rather than relying solely on broad regulatory bans. Second, regulating hard-to-trace emissions can be more effective by linking taxation and incentives to alternative, easily measurable, and legally traceable quantities. In the oil and gas sector, the reservoir gas-oil ratio provides a reliable proxy for the potential social cost of oil extraction. By coupling a tax structure based on the gas-oil ratio with accurate third-party emissions data, regulators can create a more effective and enforceable system for methane mitigation. This approach ensures that firms have both an economic incentive to reduce emissions and a clear, transparent mechanism for accountability. Declarations Acknowledgments: The authors want to thank Gunnar Eskeland for his useful comments along the conceptualization of the problem.The authors want to thank Alice Milivinti for helping with the data visualization. Funding: The Norwegian Research Council supported the research through the project Climate Futures (project 309562). GB, GDB, HO. The Italian Ministry of University and Research supported the research through the project MAP-of-MeLEES (P2022H483A). VD. Author contributions: Conceptualization: VD, GB Methodology: VD, GB, GDB, HO, EJ, JS Investigation: GB, VD, MSM, GDB, HO, EJ, JS, HME, AA, WF, PJ, ARB Visualization: GB, MSM Funding acquisition: GB, VD, GDB, HO, ARB Project administration: GB, VD, MSM Supervision: GB, VD, MSM Writing – original draft: GB, VD, MSM Writing – review & editing: GB, MSM, VD, AA, WF, PJ, ARB, DG Competing interests: Giacomo Benini gratefully acknowledges the support from Aramco Americas (until August 2022) and of the NHH-Equinor Akademia project. This financial support did not affect in any way the independence and accuracy of this work. Giacomo Benini, Geir Drage Berentsen, and Håkon Otneim acknowledge the support of the SFI center Climate Futures. This financial support did not affect in any way the independence and accuracy of this work. Valerio Dotti gratefully acknowledges the support from the Italian Ministry of University and Research. This financial support did not affect in any way the independence and accuracy of this work. Adam R. Brandt gratefully acknowledges the support from Aramco Americas. This financial support did not affect in any way the independence and accuracy of this work. Hassan El-Houjeiri was formerly employed by Aramco. Every effort was made to maintain independence and accuracy in this work. All the other authors (Mohammad S. Masnadi, Eric Jahnke, Johannes Schuhmacher, Armin Ardone, Wolf Fichtner, Patrick Jochem, and Deborah Gordon) declare that they have no competing interests. Data and materials availability: All codes and materials used in the analysis are available upon request. The data that support the findings of this study are proprietary and available from Rystad Energy, but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. 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Prediction of oil rates using machine learning for high gas oil ratio and water cut reservoirs, Flow Measurement and Instrumentation , Volume 82 , (2021). Böhringer, C., Fischer, C., Rosendahl, K.E., Rutherford, T.F. Potential impacts and challenges of border carbon adjustments. Nature Climate Change 12 , 22–29 (2022). Additional Declarations Yes there is potential Competing Interest. Giacomo Benini gratefully acknowledges the support from Aramco Americas (until August 2022) and of the NHH-Equinor Akademia project. This financial support did not affect in any way the independence and accuracy of this work. Giacomo Benini, Geir Drage Berentsen, and Håkon Otneim acknowledge the support of the SFI center Climate Futures. This financial support did not affect in any way the independence and accuracy of this work. Valerio Dotti gratefully acknowledges the support from the Italian Ministry of University and Research. This financial support did not affect in any way the independence and accuracy of this work. Adam R. Brandt gratefully acknowledges the support from Aramco Americas. This financial support did not affect in any way the independence and accuracy of this work. Hassan El-Houjeiri was formerly employed by Aramco. Every effort was made to maintain independence and accuracy in this work. All the other authors (Mohammad S. Masnadi, Eric Jahnke, Johannes Schuhmacher, Armin Ardone, Wolf Fichtner, Patrick Jochem, and Deborah Gordon) declare that they have no competing interests. Supplementary Files 2UpstreamDatasetAnalysis.txt Data Analysis 1UpstreamDatasetConstruction.txt Dataset Construction 3UpstreamRegressionsNEW.txt Regression Analysis SupplementaryMaterialALowCostPolicysubmitted13042025.pdf Supplementary Material (SM): A Low-Cost Policy for Reducing Methane Emissions in the Oil and Gas Industry 4UpstreamResultsAnalysis100.txt Results flare.txt Likelihood Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6440450","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Physical Sciences - Article","associatedPublications":[],"authors":[{"id":449243016,"identity":"0ce2810e-703f-43d5-88a6-779bd42eff10","order_by":0,"name":"Valerio Dotti","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5ElEQVRIie3QMQrCMBSA4RcKdSnt2i6eIc72MAmFuong4uAQKcRFcHUQvYVzS8EuAVdHgxfQrYKDqVjEwefqkB9CyIMPkgDYbH+ZIwCo2XOz2ATAbYYMJaQlDhFMtQQ1DYEXIbKdIoRWxew8GcXgV8vqpDfl0A+THHSNEMWznqIpRKokgu/KsRumDL1YJLiMBC2BHpMn4dJTFCdLPb+9ybohhwtKgpBL8ibCkM4C/7Eg1Jm5WOqZt/RWbD8wRNKcpd+JGyTFVdzjrl/NTtd62ufbzNG6jr+TNu/jlP8GNpvNZsN6ADvfVWJHCGuJAAAAAElFTkSuQmCC","orcid":"","institution":"Ca' Foscari University of Venice","correspondingAuthor":true,"prefix":"","firstName":"Valerio","middleName":"","lastName":"Dotti","suffix":""},{"id":449243017,"identity":"3895b467-54dd-4dde-bb68-05e45a331edf","order_by":1,"name":"Giacomo Benini","email":"","orcid":"","institution":"Norwegian School of Economics","correspondingAuthor":false,"prefix":"","firstName":"Giacomo","middleName":"","lastName":"Benini","suffix":""},{"id":449243018,"identity":"6ec73a5a-5ec8-41ac-8609-79b7113e1058","order_by":2,"name":"Geir Drage Berentsen","email":"","orcid":"","institution":"Norwegian School of Economics","correspondingAuthor":false,"prefix":"","firstName":"Geir","middleName":"Drage","lastName":"Berentsen","suffix":""},{"id":449243019,"identity":"1ddc9734-8668-4715-abd9-8d6f71a8389c","order_by":3,"name":"Håkon Otneim","email":"","orcid":"","institution":"Norwegian School of Economics","correspondingAuthor":false,"prefix":"","firstName":"Håkon","middleName":"","lastName":"Otneim","suffix":""},{"id":449243020,"identity":"16cc1a5b-d8b1-4136-afdf-146ace870fa4","order_by":4,"name":"Erik Jahnke","email":"","orcid":"","institution":"Karlsruhe Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Erik","middleName":"","lastName":"Jahnke","suffix":""},{"id":449243021,"identity":"c1c4f1e6-2f48-4468-819e-a1e12cd456b8","order_by":5,"name":"Johannes Schuhmacher","email":"","orcid":"https://orcid.org/0009-0000-1878-2926","institution":"Karlsruhe Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Johannes","middleName":"","lastName":"Schuhmacher","suffix":""},{"id":449243022,"identity":"762cdf45-abe7-45ae-bf21-d835a490442a","order_by":6,"name":"Hassan M. 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Masnadi","email":"","orcid":"https://orcid.org/0000-0002-3834-0241","institution":"University of Pittsburgh","correspondingAuthor":false,"prefix":"","firstName":"Mohammad","middleName":"S.","lastName":"Masnadi","suffix":""}],"badges":[],"createdAt":"2025-04-13 17:05:09","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6440450/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6440450/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":85542891,"identity":"9dc47868-5683-4947-aa02-85bb256a6b62","added_by":"auto","created_at":"2025-06-27 07:17:15","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":72386,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eGeolocation and Composition of Energy Waste. \u003c/em\u003e\u003cem\u003e\u003cstrong\u003e(A)\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e **Map of the United States** Each dot represents an oilfield. The dot size indicates the magnitude of the energy waste (flaring + venting + leaking) measured in Barrels of Oil Equivalent per Day (BOE/Day). The dot color represents the composition of the waste (Orange = Flaring, Light Blue = Venting + Leaking). \u003c/em\u003e\u003cem\u003e\u003cstrong\u003e(B)\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e **Merit-Based Curve of Energetic Waste** Each bar represents an oilfield. The bar base shows the volume of oil produced, while the bar height indicates the volume of energy waste. The bar color represents the composition of the waste (Orange = Flaring, Light Blue = Venting + Leaking).\u003c/em\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6440450/v1/ab7eb241854447038eeba689.png"},{"id":85542892,"identity":"2e6d8df5-bd21-44dc-9353-61c5e04feb48","added_by":"auto","created_at":"2025-06-27 07:17:15","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":120626,"visible":true,"origin":"","legend":"\u003cp\u003eEconomic and Environmental Consequences of Four Venting Reduction Targets (10%, 50%, 90%, 100%). \u003cstrong\u003e(A)\u003c/strong\u003e **Empirical Probability Density Function of the Increase in Oil Tax for a Given Decline in Natural Gas Tax** Each dot represents an oilfield. The distance of the dot from zero indicates the required increase in the specific oil tax for that oilfield. The color of the dots indicates the gas-oil ratio (Red = Oil, Blue = Natural Gas) measured in Barrels of Oil Equivalent per Barrel of Oil (BOE/BBL). Most oilfields should expect a very modest increase in their oil tax in the 10% (associated to a decline in the specific natural gas tax of 2 $/BOE), 50% (associated to a decline in the specific natural gas tax of 10 $/BOE), and 90% (associated to a decline in the specific natural gas tax of 20 $/BOE) scenarios. In the 100% scenario (associated to a decline in the specific natural gas tax of 78 $/BOE), approximately one-quarter should expect an increase of more than $100/BBL. \u003cstrong\u003e(B)\u003c/strong\u003e**Empirical Probability Density Function of the Abatement of Routine Flaring and Venting Emissions for a Given Decline in Natural Gas Tax** Each dot represents an oilfield. The distance of the dot from zero indicates the savings in metric tons of carbon dioxide equivalent per day (TCO2e/Day) associated with the change in taxation presented in (A). The color of the dots indicates the composition of the savings (Orange = Flaring, Light Blue = Venting). As savings increase, the relative importance of venting increases. \u003cstrong\u003e(C)\u003c/strong\u003e **Radar Plot of the Link Between Oil Tax, Routine Flaring, and Venting** Each triangle represents an oilfield. Most oilfields can recover 100% of their energetic waste with a relatively small percentage increase in their oil tax.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6440450/v1/769b7e5da16fd5aa4d60c18d.png"},{"id":85544282,"identity":"f6b88690-b7ef-483c-b72c-04216699494e","added_by":"auto","created_at":"2025-06-27 07:41:16","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":908287,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6440450/v1/ca0f7d74-e6a7-4af7-8ce0-f22ae8b2842a.pdf"},{"id":85542893,"identity":"54c0fed1-7406-4593-9e0a-07290f136373","added_by":"auto","created_at":"2025-06-27 07:17:15","extension":"txt","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":23103,"visible":true,"origin":"","legend":"Data Analysis","description":"","filename":"2UpstreamDatasetAnalysis.txt","url":"https://assets-eu.researchsquare.com/files/rs-6440450/v1/aa008db47c76ab1096005ce7.txt"},{"id":85542895,"identity":"7ffff1ce-c72a-4015-a463-08de3a301a65","added_by":"auto","created_at":"2025-06-27 07:17:16","extension":"txt","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":36318,"visible":true,"origin":"","legend":"Dataset Construction","description":"","filename":"1UpstreamDatasetConstruction.txt","url":"https://assets-eu.researchsquare.com/files/rs-6440450/v1/066a5b9bf5af888a66b958cb.txt"},{"id":85543425,"identity":"13cf62fd-efa9-4ccd-b226-4665654221f9","added_by":"auto","created_at":"2025-06-27 07:25:15","extension":"txt","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":17474,"visible":true,"origin":"","legend":"Regression Analysis","description":"","filename":"3UpstreamRegressionsNEW.txt","url":"https://assets-eu.researchsquare.com/files/rs-6440450/v1/f776a785f804d96818b9c0f2.txt"},{"id":85542897,"identity":"53d2c508-346c-4014-b09c-59d6e8b53d2c","added_by":"auto","created_at":"2025-06-27 07:17:16","extension":"pdf","order_by":4,"title":"","display":"","copyAsset":false,"role":"supplement","size":1432267,"visible":true,"origin":"","legend":"Supplementary Material (SM): A Low-Cost Policy for Reducing Methane Emissions in the Oil and Gas Industry","description":"","filename":"SupplementaryMaterialALowCostPolicysubmitted13042025.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6440450/v1/7013e29e6eed2825dc6510ed.pdf"},{"id":85543426,"identity":"854e80b7-9e7f-4218-8189-921206c09da0","added_by":"auto","created_at":"2025-06-27 07:25:16","extension":"txt","order_by":5,"title":"","display":"","copyAsset":false,"role":"supplement","size":46707,"visible":true,"origin":"","legend":"Results","description":"","filename":"4UpstreamResultsAnalysis100.txt","url":"https://assets-eu.researchsquare.com/files/rs-6440450/v1/529c48945987b48c29318c31.txt"},{"id":85543612,"identity":"3de34c87-d1f2-4bd1-9f3a-84df3f6ee4c4","added_by":"auto","created_at":"2025-06-27 07:33:16","extension":"txt","order_by":6,"title":"","display":"","copyAsset":false,"role":"supplement","size":1783,"visible":true,"origin":"","legend":"Likelihood","description":"","filename":"flare.txt","url":"https://assets-eu.researchsquare.com/files/rs-6440450/v1/1f5ca19bc838a71476005ed3.txt"}],"financialInterests":"\u003cb\u003eYes\u003c/b\u003e there is potential Competing Interest.\nGiacomo Benini gratefully acknowledges the support from Aramco Americas (until August 2022) and of the NHH-Equinor Akademia project. This financial support did not affect in any way the independence and accuracy of this work.\r\nGiacomo Benini, Geir Drage Berentsen, and Håkon Otneim acknowledge the support of the SFI center Climate Futures. This financial support did not affect in any way the independence and accuracy of this work. \r\nValerio Dotti gratefully acknowledges the support from the Italian Ministry of University and Research. This financial support did not affect in any way the independence and accuracy of this work.\r\nAdam R. Brandt gratefully acknowledges the support from Aramco Americas. This financial support did not affect in any way the independence and accuracy of this work.\r\nHassan El-Houjeiri was formerly employed by Aramco. Every effort was made to maintain independence and accuracy in this work. \r\nAll the other authors (Mohammad S. Masnadi, Eric Jahnke, Johannes Schuhmacher, Armin Ardone, Wolf Fichtner, Patrick Jochem, and Deborah Gordon) declare that they have no competing interests.","formattedTitle":"A Low-Cost Policy for Reducing Methane Emissions in the Oil and Gas Industry","fulltext":[{"header":"Full Text","content":"\u003cp\u003e\u003cem\u003eMain text\u003c/em\u003e. The elimination of methane emissions is one of the most significant goals that policymakers can prioritize to meet the Paris Agreement climate targets\u003csup\u003e1\u003c/sup\u003e. The combination of a short lifespan, high global warming potential, and positive commercial value makes their abatement a cost-effective way to limit the concentration of greenhouse gases (GHG) in the atmosphere\u003csup\u003e1\u003c/sup\u003e.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe oil and gas industry is a major methane emitter\u003csup\u003e2\u003c/sup\u003e, releasing an estimated 79.5 megatons of methane into the atmosphere in 2023 alone\u003csup\u003e3\u003c/sup\u003e. Most of these emissions derive from an associated commodity channel. Hydrocarbon reservoirs contain a mixture of oil and natural gas. In many regions, the cost of capturing, purifying, and transporting natural gas exceeds its market price and/or the opportunity-cost of reusing it on site. Therefore, natural gas is either burnt off via flare stacks, releasing both carbon dioxide and methane or vented into the atmosphere, releasing methane\u003csup\u003e4\u003c/sup\u003e. Together, these two practices account for roughly 3% of global natural gas production and about 7% of global energy-related GHG emissions\u003csup\u003e5,6,7,8\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eBecause recovering the currently wasted natural gas requires lower investments than most other GHG emission reduction strategies\u003csup\u003e9\u003c/sup\u003e, many policymakers regard reducing flaring and venting as a cost-effective, readily achievable measure for climate change mitigation\u003csup\u003e10\u003c/sup\u003e. To address both practices, the World Bank launched the Global Gas Flaring Reduction Partnership (GGFRP) in 2015. To date, 36 governments, 58 oil and gas companies, and 15 development banks have signed the Zero Routine Flaring by 2030 Initiative\u003csup\u003e11\u003c/sup\u003e. The main goal of this intergovernmental partnership is to eliminate flaring practices through voluntary governmental regulation while explicitly stating that venting is “not an acceptable substitute for flaring”\u003csup\u003e11\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eCalel and Mahdavi question the effectiveness of the GGFRP approach\u003csup\u003e12\u003c/sup\u003e. Using satellite data, they show that in areas where flaring has declined, methane emissions have increased, suggesting that oil and gas companies may be shifting to venting to comply with GGFRP flaring standards. This outcome reflects the multitask nature of the regulatory challenge: while the objective is to minimize flaring, venting, and unintended methane leaks, regulation focused on only one of these goals could undermine the progress made towards the others\u003csup\u003e13\u003c/sup\u003e. This limitation leads to two unintended consequences. First, anti-flaring regulation makes flaring relatively more expensive than venting, incentivizing producers to vent gas that would otherwise have been flared (see supplementary materials [SM], section 3.8). Second, anti-flaring and anti-venting policies increase the costs of voluntary gas disposal, discouraging investment in equipment maintenance and leak detection (see SM, section 2.1). As a result, GGFRP-like agreements risk failing to achieve meaningful climate benefits — or even worsening emissions — since methane has a significantly higher global warming potential than carbon dioxide\u003csup\u003e9\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eTo make GGFRP-like agreements effective, regulators must overcome three key challenges.\u003c/p\u003e\n\u003cp\u003eFirst, they need reliable and cost-effective data on firms’ methane emissions — an issue that has long hindered enforcement. Historically, methane tracking technologies faced a fundamental trade-off: aerial and satellite detection, though scalable, lacked the precision to attribute emissions to specific sources, whereas in-situ monitoring, though more accurate, was prohibitively expensive for large-scale deployment. However, recent technological advances are rapidly shifting this paradigm, improving both the precision and scalability of methane detection. As high-resolution data become increasingly accessible, the core challenge shifts from measurement to designing regulatory frameworks that can use these data in a cost-effective and enforceable way\u003csup\u003e14\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eSecond, regulators must ensure that measured emissions can be legally attributed to specific firms\u003csup\u003e15\u003c/sup\u003e. This is straightforward when pollution originates from a “discernible, confined, and discrete conveyance”\u003csup\u003e16\u003c/sup\u003e — a so-called point externality\u003csup\u003e17\u003c/sup\u003e. However, methane emissions rarely fit this category. Instead, they stem from a network of dispersed sources — wells, burners, pipelines, and storage tanks — often owned or insured by different firms operating within the same oilfield\u003csup\u003e18\u003c/sup\u003e. This creates a non-point externality problem, akin to agricultural runoff pollution\u003csup\u003e19,20\u003c/sup\u003e, for which proposed solutions have proven challenging to implement due to legal and political obstacles\u003csup\u003e21\u003c/sup\u003e. Compounding the challenge, anthropogenic methane emissions are interwoven with natural methane fluctuations from soil and wetlands, which vary over time and obscure source-specific accountability, reinforcing methane’s legal traceability problem\u003csup\u003e14\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eThird, regulators face three political economy barriers when implementing standard solutions like Pigouvian taxation or carbon pricing. Unilateral adoption of these measures would likely: reduce consumer purchasing power\u003csup\u003e22\u003c/sup\u003e, weaken the global competitiveness of domestic firms\u003csup\u003e23\u003c/sup\u003e, and, most critically, trigger carbon leakage, shifting emissions to jurisdictions with weaker regulations\u003csup\u003e23\u003c/sup\u003e. As a result, even with widespread adoption of advanced detection technologies, meaningful regulatory action would face intense political resistance and be undermined by cross-border regulatory arbitrage and free-riding.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eCalel and Mahdavi suggest a potential tax incentive scheme as a response to these challenges, asserting that “it is the pairing of a tax on production [...] with a subsidy for the safest form of disposal […] that provides a cost-effective solution to the multitask problem”\u003csup\u003e12\u003c/sup\u003e. However, their discussion remains largely conceptual and does not provide a methodological framework to guide policymakers in designing or evaluating such a reform.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePolicy Design\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBuilding on this foundational idea, the present study develops a two-pillar reform package that directly addresses the interlinked challenges of measurement, legal traceability, and political economy — offering a concrete, ready-to-implement policy solution.\u003c/p\u003e\n\u003cp\u003eWe build on the work of Masnadi et al.\u003csup\u003e24\u003c/sup\u003e by developing a multi-country, dynamic general equilibrium model featuring four types of agents: (1) oil and gas firms, which are central to the model and make profit-maximizing decisions regarding extraction (see SM, Section 1.1); (2) refineries, natural gas processing facilities, and power plants (SM, Section 1.2); (3) consumers (SM, Section 1.3); and (4) governments (SM, Section 1.4). Crucially, the core environmental insights of our analysis do not rely on this complex structure: these findings remain valid even within a static, partial equilibrium framework in which only oil and gas firms are modeled. However, the more comprehensive general equilibrium approach enables us to investigate a wider range of “second-order” effects, including impacts on energy prices, consumer welfare, international trade, government revenues, and firm competitiveness. It also allows us to account for potential unintended consequences commonly associated with environmental policy, such as carbon leakage\u003csup\u003e23\u003c/sup\u003e and dynamic distortions — often referred to as the “green paradox”\u003csup\u003e25\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eWithin our modeling framework, the management of natural gas co-extracted with oil plays a crucial role in shaping the economic and environmental outcomes of oil production. When a certain quantity of oil is extracted, a corresponding amount of natural gas — determined by the \u003cem\u003ereservoir’s gas-oil ratio\u003c/em\u003e — is co-extracted. Firms have five main options for handling the co-extracted natural gas: sale, reinjection, onsite use, flaring, or release into the atmosphere.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWe categorize flaring into routine and non-routine. Routine flaring refers to gas combustion for non-essential safety and maintenance operations. Released natural gas is further classified into venting (operators opening O\u0026amp;G systems) and leaking (gas escaping from supposedly closed O\u0026amp;G systems). Venting refers to deliberate actions, such as opening oil tanks, ignoring detected leaks, or failing to repair flare stacks to meet flaring regulations. Leaking, on the other hand, refers to both the unintentional and intentional release of gas due to aging equipment, inadequate maintenance, or safety-related pressure relief measures. Given the inherent trade-off between minimizing leaks and ensuring worker safety\u003csup\u003e18\u003c/sup\u003e, an effective regulatory approach should eliminate routine flaring and venting while reducing — but not entirely prohibiting — leaking. Our two-pillar policy is designed to strike this balance effectively.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cu\u003eFirst Pillar: Tax Reform\u003c/u\u003e\u003c/em\u003e. We propose a revenue-neutral, stakeholder-friendly tax reform, designed to drastically reduce routine flaring and venting (RF\u0026amp;V) while minimizing societal costs. This reform prevents unintended flaring-venting substitution, incentivizes investment in equipment maintenance, and does so without reducing corporate profits, consumer income, or government revenue, nor causing significant distortions in competition among firms (see SM, section 2.1). It maintains equilibrium prices for oil, natural gas, and derivative products, avoids carbon leakage, and is compatible with existing fossil fuel tax structures in many countries, including the United States (see SM, section 5.3).\u003c/p\u003e\n\u003cp\u003eAt the core of the proposed reform is a strategic adjustment of two taxes to align economic incentives with environmental objectives:\u003c/p\u003e\n\u003col start=\"1\" type=\"1\"\u003e\n \u003cli\u003eA homogeneous\u0026nbsp;\u003cem\u003etax reduction on natural gas sales\u003c/em\u003e for all oil producers to offset the cost of selling unprofitable gas. This reduction is uniform across producers and depends on the RF\u0026amp;V reduction target set by policymakers. To fully eliminate RF\u0026amp;V, the tax reduction should equal the maximum net cost of selling otherwise unprofitable gas within a given jurisdiction.\u003c/li\u003e\n \u003cli\u003eA heterogeneous\u0026nbsp;\u003cem\u003etax increase on oil sales\u003c/em\u003e to reflect the environmental risks associated with gas mismanagement. This increase is calculated by multiplying the natural gas sales tax reduction by the oilfield’s gas-oil ratio, ensuring that oilfields with higher gas content bear a proportionally higher tax burden. Since gas-oil ratios vary, the tax increase will differ across oilfields, aligning costs with environmental impact.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eThese adjustments work in opposite directions: the reduction in gas sales tax ensures firms are rewarded for responsible gas management, while the increase in oil sales tax internalizes the environmental cost of gas mismanagement. A firm that eliminates all voluntary gas waste receives full compensation, ensuring that profitability and optimal oil production levels remain unaffected. Additionally, a minor adjustment to the specific tax on gas sales by gas-only fields ensures that equilibrium prices remain unchanged. The reform does not introduce new fines or fees based on measured or traced methane emissions.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cu\u003eSecond Pillar: Methane Monitoring\u003c/u\u003e\u003c/em\u003e. While the tax reform reduces RF\u0026amp;V, it does not directly target leaks. However, by reshaping the economic incentives around natural gas recovery, it fundamentally alters how oil and gas firms respond to external methane detection. Under the existing regulatory framework, firms have little incentive to act on third-party methane leak reports because selling the gas is typically unprofitable and voluntary disposal is penalized. Additionally, any improvement in the regulator’s ability to detect methane emissions further weakens this incentive, partially limiting the potential emission reductions despite advancements in methane tracking technology (see SM, section 2.1). The first pillar of the reform removes these perverse incentives and replaces them with a self-reinforcing economic mechanism. After the tax reform is implemented, recovering leaked methane becomes financially advantageous, eliminating the need for punitive enforcement or legal disputes. Instead of regulators bearing the burden of pinpointing individual emitters, they only need to detect methane emissions in a given area and notify all firms operating within it. Because every firm in the vicinity now benefits from methane recovery, market forces — not regulation — will drive rapid response to leaks and promote investment in equipment maintenance (see SM, section 2.1).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThis shift has profound implications for methane monitoring. Real-time emissions data from satellites, aerial detection, and independent monitoring systems — previously seen as a regulatory risk — become an asset for firms. Instead of treating methane detection as a compliance risk, firms have now a direct financial incentive to integrate external monitoring data into their daily operations. As a result, full transparency in methane emissions reporting — often contentious under conventional approaches — becomes the optimal industry strategy. Moreover, firms are incentivized to recover all economically viable gas while ensuring worker safety is not compromised. Unlike conventional policies that attempt to eliminate leaks through strict enforcement, our approach acknowledges that some leakage may be unavoidable due to safety constraints. By allowing firms to balance leak minimization with operational safety, the policy ensures that firms recover as much gas as possible without endangering workers. While the second pillar — unlike the first — entails non-trivial costs due to the investment required in methane detection technology, it enables a more cost-effective use of those resources compared to the current regulatory framework.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePolicy Outcome\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAs a case study, we examine what would have happened if the United States — the largest oil and gas producer in the world — had implemented our proposed tax reform (\u003cem\u003eFirst Pillar\u003c/em\u003e) from 2005 to 2020. This period was specifically chosen because it provides the only timeframe with consistent treatment of all the micro-data necessary for our research. Utilizing a comprehensive dataset that includes production decisions from 556 onshore oilfields, we estimate the policy’s outcome. The first step in evaluating the impact of the proposed tax reform is to disentangle venting from leaking. To separate these two quantities, we use the firm’s equilibrium conditions to identify a \u003cem\u003eventing lower bound\u003c/em\u003e. This identification strategy minimizes the risk of overestimating the impact of our policy proposal (see SM, section 3.8). Then, we quantify routine flaring, venting, and leaks using a two-step estimation strategy.\u0026nbsp;Using a panel Tobit I model, the first step calculates the expected change in volumes of routine flaring resulting from changes in the price of natural gas (see SM, section 4.1). The second step estimates a venting lower bound using a linear panel regression model, where the quantity of unsold and unflared natural gas is a function of the flaring status of oilfields, the price of natural gas, the flaring-venting substitution effect (obtained as the residual of the first step), the expected level of maintenance, the level of oil production, and the volumes of natural gas (re-)injected to maintain reservoir pressure or used onsite to generate heat or electricity (see SM, section 4.2). \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEnergy Waste.\u003c/strong\u003e By combining the results of the first and second estimation steps, we derive field-level estimates of total energy waste and its underlying components, enabling us to quantify the energy and associated environmental savings that the proposed tax reform could deliver (see SM, section 4.3). For the case study, our calculations indicate that, on average, 2.78% of the total energy from oil and natural gas extraction was wasted — equivalent to 197,000 Barrel of Oil Equivalent per Day (BOE/Day). Routine flaring accounted for 86,000 BOE/Day, or 1.23% of all extracted energy. Venting contributed 33,000 BOE/Day (0.47%), non-routine flaring 1,000 BOE/Day (0.02%), and leaking 76,000 BOE/Day (1.07%). These waste quantities are sensitive to changes in natural gas prices: for every $1/BOE increase in nominal gas prices, routine flaring decreases by 1.74 BOE/Day, venting by 2.37 BOE/Day, and leaking by 0.68 BOE/Day. Figure 1 presents the geolocation and estimated composition of natural gas waste across the oilfields analyzed.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1: Average Economic and Energy Outcomes of the First Pillar\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003cimg 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\" alt=\"image\"\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTaxation.\u003c/strong\u003e Table 1 presents the economic and energy-related effects of the proposed tax reform, based on the venting lower bound obtained using the two-step methodology. The “Venting Savings” column represents the volume of vented gas targeted for elimination, while the “Gas Sale Tax” column shows the corresponding reduction in natural gas sales tax, which ranges from -$2.03/BOE (9.6% of the average market price from 2005 to 2020, equal to $21.14/BOE) to -$78.63/BOE (373.2% of the average market price). Although each firm’s oil production levels and, consequently, equilibrium oil prices remain unaffected across all venting reduction targets, other economic outcomes may vary depending on the specific target chosen. Notably, the subsidy remains below 100% of the average market price until the 90% methane savings threshold, suggesting that up to 90% of venting can be eliminated without generating sizeable incentives for oilfields to purchase gas externally and falsely claim it as recovered from their own production (see SM, section 5.2). Moreover, the reform imposes minimal costs on oil and gas companies, even when venting reduction targets are set below 100%. Specifically, the average tax compensation at the industry level starts at 92.36% for the 10% methane saving goal and increases progressively as the target becomes more ambitious. This means that for all targets of 10% and above, the median net cost of the policy remains below $0.64 per BBL of crude extracted\u0026nbsp;—\u0026nbsp;less than 1% of the average oil market price. Consequently, for all the partial venting reduction targets ranging from 10% to 90%, the tax scheme produces economic effects comparable to those of the 100% target, namely minimal to no losses for consumers, shareholders, and the government, while requiring a relatively modest tax adjustment.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAt the 90% venting reduction target, the corresponding oil tax increase remains moderate relative to existing severance taxes, striking the optimal balance between tax adjustment and emission reduction. For the most common oil formation — with a gas-oil ratio of 0.29 BOE of natural gas per barrel of oil — the additional oil tax required is $5.88/BBL. In Texas, the current oil severance tax is 4.6% of the market value, which translates to $3.10/BBL at an average price of $67.30/BBL. The proposed tax increase would therefore be nearly 1.9 times the current rate. Similar proportional effects apply to North Dakota, where the oil extraction tax is set at 5%.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEnergy Savings.\u0026nbsp;\u003c/strong\u003eEach venting reduction target is associated with energy savings. The “Routine Flaring” column reflects the daily amount of natural gas that would otherwise have been flared but can now be recovered, while the “Venting \u0026amp; Leaks” column measures the direct reduction in methane emissions. Finally, the “Total Energy Savings” column quantifies overall efficiency gains, calculated as total routine flaring and venting savings relative to total extracted hydrocarbons (oil plus natural gas). At the recommended 90% venting reduction target, the proposed policy enables energy savings equivalent to 0.81% of total extracted hydrocarbons — a meaningful gain in operational efficiency. These savings are almost evenly split between reductions in routine flaring (33,824 BOE/day) and cuts in venting and leaks (30,285 BOE/day). This level of recovery not only reduces waste but also enhances the overall energy return from hydrocarbon extraction.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEnvironmental Savings.\u0026nbsp;\u003c/strong\u003eTable 2 presents the environmental benefits associated with the venting reduction scenarios from Table 1. The “Carbon Dioxide” section quantifies the reduction in CO\u003csub\u003e2\u003c/sub\u003e emissions from gas that would otherwise be burned in flares. In environmental terms, the 90% target translates into substantial emissions reductions. Daily flaring-related savings amount to 18.67 metric tons of CO\u003csub\u003e2\u003c/sub\u003e-equivalent, while methane savings — which dominate due to methane’s higher global warming potential — reach 214 metric tons CO\u003csub\u003e2\u003c/sub\u003e-equivalent/Day. These results reflect the nonlinear nature of venting abatement: while early reductions yield modest environmental benefits, eliminating the bulk of emissions leads to disproportionately large climate gains.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2: Average Environmental Outcomes of the First Pillar\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" alt=\"image\"\u003e\u003c/p\u003e\n\u003cp\u003eThe “Total Emission Savings (%)” column captures the overall reduction in emissions from natural gas mismanagement — including non-routine flaring, routine flaring, venting, and leaks. At the recommended 90% venting reduction target, total emissions savings reach 27.73%. This marks a significant climate benefit compared to earlier targets: for example, the 10% reduction scenario yields only 4.29%, while a 50% cut delivers 15.97%. Pushing beyond 90% to full elimination results in marginal additional gains, reaching 31.94% in total. These results underscore the increasing marginal impact of deeper venting reductions, with particularly steep improvements between 80% and 90%. Figure 2 summarizes these trade-offs by showing how oil and gas taxation compares to absolute and relative emissions reductions at four key targets: 10%, 50%, 90%, and 100%.\u003c/p\u003e\n\u003cp\u003eThe estimates presented in Tables 1 and 2 are deliberately conservative along four dimensions. First, our identification strategy is designed to capture a lower bound on the policy’s effect. Second, we assume a 98% flare stack efficiency rate — the industry standard — although recent evidence suggests it could be as low as 91% \u003cem\u003e(4)\u003c/em\u003e. If the lower efficiency estimate holds, flaring-related emissions savings under the 100% reduction scenario would increase by approximately 11,000 tons of CO\u003csub\u003e2\u003c/sub\u003e-equivalent per day due to higher methane retention in flared gas. Third, the reform explicitly channels recovered natural gas from oilfields to replace production from gas-only fields, thereby maintaining constant aggregate supply. However, regulators could alternatively incentivize recovered gas as a substitute for coal by imposing a modest tax on coal purchases by power plants — equivalent to roughly $0.01/BOE. Leveraging the inter-fuel elasticity of substitution in the power sector, this alternative approach could reduce emissions by an additional 23,000 tons of CO\u003csub\u003e2\u003c/sub\u003e-equivalent per day (see SM, sections 5.4 and 5.5). Fourth, we exclude any emissions savings from the second pillar of the reform, as current data do not permit a reliable assessment of regulatory effectiveness in detecting methane leaks.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePolicy Implications\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe combined effect of the first and second pillars sets this reform apart from Pigouvian taxation, emissions markets, and other less conventional incentive schemes\u003csup\u003e26\u003c/sup\u003e in both technical enforcement and political economy.\u003c/p\u003e\n\u003cp\u003eOn the technical side, traditional approaches often struggle with two intertwined problems: measurability and legal traceability. Because they rely on detecting and penalizing small, deliberate methane emissions, these mechanisms are vulnerable to misreporting and difficult to enforce. The first pillar of the proposed reform directly overcomes these challenges by shifting the regulatory focus to oil and gas sales, which are reported in firms’ income statements. These sales are intentional, easily monitored, and already subject to taxation in most jurisdictions, ensuring high enforceability. Moreover, the gas-oil ratio of an oilfield — a key indicator of associated gas volumes — can be measured accurately using test separators and validated through established empirical formulas\u003csup\u003e27\u003c/sup\u003e. This effectively resolves the traceability issue by anchoring regulation to observable and legally verifiable production metrics.\u003c/p\u003e\n\u003cp\u003eOn the political economy side, traditional approaches often encounter resistance from both industry stakeholders and the public. Instruments such as Pigouvian taxes and emissions markets directly increase costs for producers and consumers, often leading to resistance from firms seeking to avoid profit losses and consumers opposing higher energy prices. Likewise, subsidies increase government spending and typically face pushback from taxpayers. By contrast, the first pillar avoids these pitfalls by preserving the overall tax burden on oil and gas producers while redistributing it across their outputs. By shifting part of the fiscal pressure from co-extracted natural gas to oil sales, and keeping oil and natural gas prices unchanged, the reform protects firms’ net profits and prevents negative effects on consumers and state budgets. This makes the policy more politically acceptable across a broad coalition of stakeholders, from industry to voters.\u003c/p\u003e\n\u003cp\u003eThe reform also circumvents one of the most persistent obstacles to unilateral climate action: the threat of carbon leakage and competitiveness loss. Standard carbon pricing mechanisms can incentivize firms to relocate production to jurisdictions with laxer regulations, thereby undermining both environmental and economic goals. Solutions like carbon border adjustments require complex international negotiations and often face legal challenges under World Trade Organization rules\u003csup\u003e28\u003c/sup\u003e. In contrast, the first pillar does not affect trade exposure or product prices and can be implemented unilaterally without distorting global competitiveness or triggering regulatory arbitrage.\u003c/p\u003e\n\u003cp\u003eAdditionally, the reform’s structure is highly scalable to different institutional and market environments. It maintains its corrective incentive structure whether the market is competitive or oligopolistic, and it remains effective whether the industry is composed of private firms or dominated by state-owned enterprises. This adaptability makes it particularly suitable for countries with diverse industrial arrangements, including those with significant participation in the Organization of Petroleum Exporting Countries (OPEC).\u003c/p\u003e\n\u003cp\u003eLastly, the modular two-pillar structure, along with the flexibility provided by various venting reduction targets, makes the reform highly adaptable to different economic and institutional conditions. While the first pillar can be implemented with minimal costs and limited regulatory capacity, the second pillar involves a more ambitious commitment, introducing targeted monitoring of methane emissions based on recent advances in detection technologies. Although this component requires upfront investment, it enables a more efficient and strategic deployment of resources compared to existing enforcement models. Crucially, the ability to phase in the second pillar over time enhances the overall political feasibility of the reform. Governments can choose to adopt the first pillar independently, securing meaningful emissions reductions without incurring major administrative or financial burdens. This makes the reform particularly attractive for developing countries, where institutional capacity and budgetary space may be constrained. Meanwhile, higher-income countries with stronger regulatory infrastructure may find it both politically and fiscally viable to implement both pillars simultaneously, achieving deeper and more durable climate gains. By allowing for gradual scaling and tailoring to national contexts, the reform avoids the all-or-nothing logic that has stalled previous efforts and creates a pragmatic pathway toward global methane mitigation.\u0026nbsp;\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eOur solution \u003cem\u003eis not the most theoretically efficient mechanism for tackling methane emissions\u003c/em\u003e, as it is deliberately designed to avoid impacting oil and gas production levels and prices. However, it offers a cost-effective, politically resilient, and easily implementable strategy to significantly reduce routine flaring, venting, and — depending on the accuracy of methane monitoring systems — leaks (see SM, sections 5.1–5.2). Moreover, it is compatible with and can be implemented alongside other incentive schemes, particularly those aimed at encouraging firms to voluntarily disclose their emissions\u003csup\u003e26\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eEven if alternative policy frameworks are adopted, two key insights from our analysis remain broadly applicable. First, standard anti-flaring and anti-venting policies may have limited or even counterproductive effects on methane emissions, potentially leading to unintended consequences such as flaring-venting swap and carbon leakage. To address these issues effectively, policymakers should prioritize methane-specific, second-best incentive schemes that directly target the root causes of emissions rather than relying solely on broad regulatory bans. Second, regulating hard-to-trace emissions can be more effective by linking taxation and incentives to alternative, easily measurable, and legally traceable quantities. In the oil and gas sector, the reservoir gas-oil ratio provides a reliable proxy for the potential social cost of oil extraction. By coupling a tax structure based on the gas-oil ratio with accurate third-party emissions data, regulators can create a more effective and enforceable system for methane mitigation. This approach ensures that firms have both an economic incentive to reduce emissions and a clear, transparent mechanism for accountability.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgments:\u003c/strong\u003e The authors want to thank Gunnar Eskeland for his useful comments along the conceptualization of the problem.The authors want to thank Alice Milivinti for helping with the data visualization.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding:\u003c/strong\u003e The Norwegian Research Council supported the research through the project Climate Futures (project 309562). GB, GDB, HO.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe Italian Ministry of University and Research supported the research through the project MAP-of-MeLEES (P2022H483A). VD.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions:\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eConceptualization: VD, GB\u003c/p\u003e\n\u003cp\u003eMethodology: VD, GB, GDB, HO, EJ, JS\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eInvestigation: GB, VD, MSM, GDB, HO, EJ, JS, HME, AA, WF, PJ, ARB\u003c/p\u003e\n\u003cp\u003eVisualization: GB, MSM\u003c/p\u003e\n\u003cp\u003eFunding acquisition: GB, VD, GDB, HO, ARB\u003c/p\u003e\n\u003cp\u003eProject administration: GB, VD, MSM\u003c/p\u003e\n\u003cp\u003eSupervision: GB, VD, MSM\u003c/p\u003e\n\u003cp\u003eWriting – original draft: GB, VD, MSM\u003c/p\u003e\n\u003cp\u003eWriting – review \u0026amp; editing: GB, MSM, VD, AA, WF, PJ, ARB, DG\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests:\u003c/strong\u003e Giacomo Benini gratefully acknowledges the support from Aramco Americas (until August 2022) and of the NHH-Equinor Akademia project. This financial support did not affect in any way the independence and accuracy of this work.\u003c/p\u003e\n\u003cp\u003eGiacomo Benini, Geir Drage Berentsen, and Håkon Otneim acknowledge the support of the SFI center Climate Futures. This financial support did not affect in any way the independence and accuracy of this work.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eValerio Dotti gratefully acknowledges the support from the Italian Ministry of University and Research. This financial support did not affect in any way the independence and accuracy of this work.\u003c/p\u003e\n\u003cp\u003eAdam R. Brandt gratefully acknowledges the support from Aramco Americas. This financial support did not affect in any way the independence and accuracy of this work.\u003c/p\u003e\n\u003cp\u003eHassan El-Houjeiri was formerly employed by Aramco. Every effort was made to maintain independence and accuracy in this work.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAll the other authors (Mohammad S. Masnadi, Eric Jahnke, Johannes Schuhmacher, Armin Ardone, Wolf Fichtner, Patrick Jochem, and Deborah Gordon) declare that they have no competing interests.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData and materials availability:\u003c/strong\u003e All codes and materials used in the analysis are available upon request. The data that support the findings of this study are proprietary and available from Rystad Energy, but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. An anonymized version of the final dataset — including computed values for non-routine flaring, routine flaring, venting, and leaks — is available from the authors upon reasonable request. However, the authors are not authorized to share data on oil and natural gas production, injections, and in-situ usage without the authorization of Rystad Energy.\u003c/p\u003e\n\u003cp\u003eSupplementary Information is available for this paper.\u003c/p\u003e\n\u003cp\u003eCorrespondence and requests for materials should be addressed to GB.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eLee, H., Romero, J. IPCC - Summary for policymakers. \u003cem\u003eClimate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change\u003c/em\u003e, 1-34, (2023).\u003c/li\u003e\n\u003cli\u003eMasnadi, M.S. et al. 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This study proposes a two-pillar policy reform to reduce routine flaring, venting, and leaks at low cost. The first pillar is a revenue-neutral tax shift from natural gas to oil, which incentivizes responsible gas management while minimizing financial impacts on firms, consumers, and governments. The second pillar enhances the cost-effectiveness of methane detection by transforming monitoring from a regulatory liability into a financial opportunity. Using U.S. oilfield data (2005–2020), we estimate that the first pillar alone could cut 90% of venting and reduce the industry’s greenhouse gas emissions by 27.73% — equal to 95,000 metric tons of CO₂-equivalent per day. The approach is scalable across diverse contexts, including OPEC and low-income countries.\u003c/p\u003e","manuscriptTitle":"A Low-Cost Policy for Reducing Methane Emissions in the Oil and Gas Industry","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-06-27 07:17:11","doi":"10.21203/rs.3.rs-6440450/v1","editorialEvents":[],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"nature-communications","isNatureJournal":true,"hasQc":false,"allowDirectSubmit":false,"externalIdentity":"NCOMMS","sideBox":"Learn more about [Nature Communications](http://www.nature.com/ncomms/)","snPcode":"","submissionUrl":"https://mts-ncomms.nature.com/","title":"Nature Communications","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"ejp","reportingPortfolio":"Nature Communications","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"afd32199-7159-48da-8218-57a2ff79c90c","owner":[],"postedDate":"June 27th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":47806053,"name":"Earth and environmental sciences/Environmental social sciences/Climate-change policy"},{"id":47806054,"name":"Earth and environmental sciences/Environmental social sciences/Climate-change mitigation"},{"id":47806055,"name":"Earth and environmental sciences/Environmental social sciences/Environmental economics"}],"tags":[],"updatedAt":"2026-01-22T16:56:08+00:00","versionOfRecord":[],"versionCreatedAt":"2025-06-27 07:17:11","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6440450","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6440450","identity":"rs-6440450","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}