1.中国矿业大学 安全工程学院 煤矿瓦斯与火灾防治教育部重点实验室,江苏 徐州 221116 2.中国矿业大学 资源与地球科学学院,江苏 徐州 221116 3.Faculty of Mechanical Engineering, Opole University of Technology,Opole, Poland 45-758
Inversion imaging of petrophysical data
SU Ben-Yu1(), ZHANG Jia-Qi1, TAN Deng-Pan2, YU Jing-Cun2, LI Zhi-Xiong3
1. Key Laboratory of Gas and Fire Control for Coal Mines,China University of Mining and Technology, Xuzhou 221116, China 2. School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China 3. Faculty of Mechanical Engineering, Opole University of Technology, 45-758 Opole, Poland
The inversion of petrophysical data can image the microscopic fracture structures inside rocks, revealing the evolutionary patterns of fractures within rocks and soil with changes in external environments. Hence, it is an intuitive and reliable method for investigating the mechanisms of deep geotechnical disasters. This study presented a petrophysical data acquisition system and resistivity-based forward modeling and inversion algorithms. Based on the above, this study conducted numerical simulations of 2D and 3D inversion imaging of petrophysical data. As indicated by the numerical simulation results, 2D inversion imaging can characterize millimeter-scale rock fractures with high/low resistivities, whereas 3D inversion imaging can accurately locate and effectively identify millimeter-scale fractures and vugs with high/low resistivities. Moreover, data measurement and inversion imaging were conducted on rock samples subjected to microwave-induced fracturing in three states: heated sandstone before failure, sandstone heated to a molten state, and molten sandstone in a cooled state, preliminarily revealing the variation patterns of sandstone fractures under microwave heating. Overall, this study provides a novel method for exploring the mechanisms of deep geotechnical disasters.
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