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Detection of Tectonically Deformed Coal Using Model-Based Joint Inversion of Multi-Component Seismic Data

Author

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  • Jun Lu

    (Key Laboratory of Marine Reservoir Evolution and Hydrocarbon Accumulation Mechanism, Ministry of Education, China University of Geosciences, Beijing 100083, China)

  • Yun Wang

    (School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China)

  • Jingyi Chen

    (Department of Geosciences, The University of Tulsa, Tulsa, OK 74104, USA)

Abstract

Tectonically-deformed coal (TDC) is a potential source of threats to coal-mining safety. Finding out the development and distribution of TDCs is a difficult task in coalfield seismic explorations. Based on the previous investigations, the P- to S-wave velocity ratio ( α / β ) is a stable parameter for the identification of TDCs and most TDCs have α / β values of less than 1.7. Here, a TDC detection method using a model-based joint inversion of the multi-component seismic data is proposed. Following the least square theories, the amplitude variation with offset gathers of the PP- and PS-waves are jointly inverted into the corresponding α / β values. The prior models generated from the P- and S-wave velocity and density logs are employed in the joint inversion to enhance the inversed models. Model test results show that the model-based inversion is of high anti-noise ability and has a good recognition ability of TDCs. The proposed method is applied to a work area of the Guqiao mine in China. The TDCs developed in coal seam 13-1 are effectively identified according to their inverted α / β values of less than 1.7. The detection result is verified by the well and tunnel excavation information.

Suggested Citation

  • Jun Lu & Yun Wang & Jingyi Chen, 2018. "Detection of Tectonically Deformed Coal Using Model-Based Joint Inversion of Multi-Component Seismic Data," Energies, MDPI, vol. 11(4), pages 1-17, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:829-:d:139432
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    References listed on IDEAS

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    1. Haifeng Wang & Yuanping Cheng & Liang Yuan, 2013. "Gas outburst disasters and the mining technology of key protective seam in coal seam group in the Huainan coalfield," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 763-782, June.
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    Cited by:

    1. Liang Sun & Suping Peng & Dengke He, 2018. "A Novel Static Correction Approach for Eliminating the Effect of Geophones—A Case Study in Coal Reservoirs, Ordos Basin, China," Energies, MDPI, vol. 11(12), pages 1-12, November.
    2. Qiang Chen & Jin Jing & Jun Liu & Jianhui Long & Sheng Zhang, 2019. "Productivity Evaluation of Coalbed Methane Well with Geophysical Logging-Derived Tectonically Deformed Coal," Energies, MDPI, vol. 12(18), pages 1-15, September.
    3. Xin Wang & Tongjun Chen & Hui Xu, 2020. "Thickness Distribution Prediction for Tectonically Deformed Coal with a Deep Belief Network: A Case Study," Energies, MDPI, vol. 13(5), pages 1-14, March.
    4. Xiong Song & Tongjun Chen & Dengliang Zhang, 2023. "The Acoustic Characteristics of Tectonically Deformed Coal in Huaibei Coalfield," Energies, MDPI, vol. 16(13), pages 1-15, July.
    5. Anmin Wang & Daiyong Cao & Yingchun Wei & Zhifei Liu, 2020. "Macromolecular Structure Controlling Micro Mechanical Properties of Vitrinite and Inertinite in Tectonically Deformed Coals—A Case Study in Fengfeng Coal Mine of Taihangshan Fault Zone (North China)," Energies, MDPI, vol. 13(24), pages 1-23, December.

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