A Source Data-Driven Method for 3D Geological Modeling in Coal Mines

A Source Data-Driven Method for 3D Geological Modeling in Coal Mines

Z. Wang J. Zuo C. Yuan H. Xie 

State Key Laboratory of Coal Resources and Mine Safety, China University of Mining and Technology, Beijing, China

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Building accurate 3D geological models relies heavily on large numbers of data. Nowadays, there are plenty of data including geological, 3D seismic, and roadway data in coal mines, and some specialized softwares allow modeling complex geological bodies using these data. However, there are still two main problems: the first is how to use such information in one modeling system because of the characteristics of the heterogeneity between seismic and other geological data and the second is how to use the latest data because all the data in coal mines change frequently with the production and organization activities. A solution is presented in this paper based on a source data-driven method for 3D geological modeling using geological data, roadway, and seismic interpretation results in a complete process system. The processing flows include: data integration, time–depth conversion, and surface- based modeling. The method not only effectively takes advantage of various data but also will not lose the correcting information from geologic cognition. Meanwhile, the application in Pingshuo shows that the method is in accord with the dynamic production situation of the coal mine.


Borehole, coal mine, geological modeling, roadway, seismic


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