Feature Analysis of Rock Salt Well Logging Data and Applicability Evaluation for Three-Dimensional Modeling
Zan-Ye Zhang ( Henan Fourth Geology and Mineral Survey Institute Co., Ltd., Zhengzhou, Henan 450000, China )
Hong-Wei Di ( Henan Fourth Geology and Mineral Survey Institute Co., Ltd., Zhengzhou, Henan 450000, China )
Jing Chen ( Henan Fourth Geology and Mineral Survey Institute Co., Ltd., Zhengzhou, Henan 450000, China )
https://doi.org/10.37155/3060-8716-0202-4Abstract
This study focuses on a rock salt exploration project and investigates the geophysical well logging data from six boreholes (DZK1–DZK6). First, the well logging operations are systematically reviewed, including survey objectives, instrumentation, technical parameters, quality control measures, and interpretation results, confirming that the acquired data are complete, accurate, and reliable. Subsequently, in accordance with standards such as the Technical Specifications for Three-Dimensional Geological Modeling, the applicability of using the logging dataset to construct a high-precision three-dimensional geological model of the rock salt deposit is comprehensively evaluated from multiple perspectives, including data foundation, technical feasibility, potential risk factors, and expected modeling accuracy. The results indicate that the logging data of the rock salt deposit are of high quality and fully meet the data input requirements for three-dimensional geological modeling. By adopting a scientifically sound technical workflow and appropriate risk mitigation strategies, a three-dimensional geological model with controllable errors and clear geological significance can be successfully established. The model can provide robust technical support for resource evaluation, optimization of mining schemes, and comprehensive utilization of geothermal energy in the mining area.
Keywords
Rock salt deposit; Geophysical well logging; Data characteristics; Three-dimensional geological modeling; Applicability evaluationFull Text
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Copyright © 2026 Zan-Ye Zhang,Hong-Wei Di,Jing Chen
Publishing time:2025-04-30
This work is licensed under a Creative Commons Attribution 4.0 International License