Enhancing Efficiency in Explicit 3D Geological Modeling and Accuracy of Attribute Interpolation for Urban Underground Spaces: A Case Study in Shanghai

Abstract Three-dimensional (3D) geological modeling plays a crucial role in the development of urban underground spaces. Currently, the process of 3D geological modeling for urban underground spaces confronts challenges related to data sparsity and limited automation. In addition, the attribute interpolation method does not consider the influence of strata, which undermines the precision of the interpolation. This paper presents an automated process for creating 3D geological models using multisource data. Initially, diverse geological profiles, seismic records, and contour data from various sources were amalgamated into unified virtual borehole data, augmenting the actual borehole data in 3D geological modeling. Subsequently, a hierarchical approach was developed and implemented to improve the explicit modeling efficiency of automatic 3D geological model construction. Ultimately, 3D geological structures are categorized into various configurations, such as single layer, horizontal stratification, and average layering, tailored to meet specific requirements. Incorporating pertinent stratigraphic data during the interpolation phase enhances the accuracy of attribute model interpolation. This study offers technical support for the development and utilization of urban underground spaces in Shanghai.