Study on the Construction of 3D Geological Model of Quaternary Loose Sedimentary Strata Based on the Global Stratigraphic Discrete Points

Abstract

Accurately depicting the spatial structure characteristics of Quaternary loose sedimentary strata is not only of great significance for the research of Quaternary geological evolution, but also for the analysis of spatial variation characteristics of the inner hydrogeological and engineering geological attributes of the strata. In this study, an approach for constructing a 3D geological model of Quaternary loose sedimentary strata is proposed based on global stratigraphical discrete points. The approach obtains the discrete control point set of each stratum by using limited borehole data for interpolation and encryption, and the contact relationships and intersection modes of adjacent strata can be determined via the analysis of stratigraphic sequence; finally, taking these as the professional basis, the construction of the 3D geological model of Quaternary loose sedimentary strata can be carried out. This application can not only accurately describe the three-dimensional spatial distribution characteristics of the Quaternary loose sedimentary strata, it can also be used to perform a layered simulation of the spatial variation characteristics of the inner geological properties of the Quaternary loose sedimentary strata, such as lithology, porosity, and water content, by taking the three-dimensional spatial framework of each stratum as the simulation boundary. Finally, this study takes the citizen center of Xiong’an new area as an example in order to verify the reliability and advancement of the 3D geological modeling scheme.

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

“…Despite the development of various techniques for constructing 3D geological models, models based on borehole data remain the most prevalent (Zhu et al, 2012;Shen et al, 2022). Numerous 3D geological modeling methods have primarily utilized borehole data (Zhu et al, 2012;Jiskani et al, 2018;Liu et al, 2020a;Liu et al, 2020b;Guo et al, 2021b;Zhu et al, 2022). Many scholars have studied multisource data modeling methods to integrate soft data into the modeling process.…”