Transient electromagnetic wave field transformation imaging technology for coalbed methane enrichment mine goaf
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China Coal Research Institute

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The work described in this paper was fully supported by National Natural Science Foundation of China (No.51704162), Major State Basic Research Development Program of China (No.2016ZX05045001-004), and Technology Development Foundation of China Coal Research Institute (No.2018CX06).)

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    Abstract:

    Mining-induced fractures and goaf are closely related to mine coalbed methane seepage and occurrence. Accurate detection of goaf and mining-induced fractures is the basic work of coalbed methane mining. Based on wave field transformation theory, nonlinear damped least squares algorithm is used to calculate the wave field transformation integral equation. Whole-space response correction and wave field data processing are carried out . The working method of synthetic aperture imaging in coal mine underground roadway is expounded. Numerical simulation of 3D goaf wavefield imaging model are carried out.Engineering application were carried out for advanced detection and coal mining face detection methods in Jincheng coalbed methane mining area. .This technology obviously reflects the water-rich boundary of the mining-induced fractures and goaf. Wavefield transformation imaging technology can extract electrical boundary information in transient electromagnetic data. The wave field result can reduce the adverse effects of volume effect on the goaf and mining-induced fractures interpretation. Wave field transformation imaging technology is suitable for detection of goaf and mining-induced fractures. The results of drilling verification are consistent with the results of wave field imaging and apparent resistivity analysis.

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History
  • Received:June 02,2020
  • Revised:July 21,2020
  • Adopted:July 23,2020
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