Skip to main content
Log in

Detection method of coal-rock interface and low-resistivity anomalous body based on azimuth electromagnetic wave

  • Electrical and electromagnetic methods
  • Published:
Applied Geophysics Aims and scope Submit manuscript

Abstract

A geological model related to coal-rock electromagnetic parameters is constructed in this work using coal-rock media and coal-rock interfaces as the research objects for electromagnetic wave propagation response. An in-depth analysis was conducted to examine the response characteristics of the electromagnetic wave detection technology for coal and rock geological orientations while drilling in coal mines. We also studied the detection and identification methods and applicability of coal and rock interfaces. Next, we simulated the response characteristics of the instrument in the coal seam and established a calculation method for the orientation of the interface between the roof and floor of the coal seam and the distance between the instrument and the coal seam’s interface. The quasi-Newton method was used to perform inversion calculations on the theoretical model of the response of the borehole-while-drilling azimuth electromagnetic wave resistivity tool, and the simulation data were inverted in real time, thereby reducing the number of calculations of the Jacobian matrix, improving the inversion speed, and decreasing the level of dependence on the initial value. Furthermore, we obtained the signal response law of electromagnetic wave detection in low-resistivity aquifers and abnormal geological bodies (e.g., collapse columns and gangue interlayers) based on forward and inversion numerical simulation. Finally, by investigating the directional electromotive force simulation imaging method of the orthogonal coil, we verified the feasibility of the application of azimuth electromagnetic wave resistivity in high-resistivity coal seams. In this way, we can provide the basis for the detection of coal seam interface, geological anomaly body, and geological guidance application.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bell C, Hampson J, Eadsforth P, et al, 2006, Navigating and imaging in complex geology with azimuthal propagation resistivity while drilling: Paper presented at the 2006 SPE Annual Technical Conference and Exhibition, September, San Antonio, Texas, USA, 24–27.

  • Bittar M S, Klein J D, Randy B, et al, 2009, A new azimuthal deep-reading resistivity tool for geosteering and advanced formation evaluation: SPE Reservoir Evaluation and Engineering, 12(2), 270–279.

    Article  CAS  Google Scholar 

  • Chen, G., Fan, Y. R., and Li Q. X., 2019, A study of coalbed methane (CBM) reservoir boundary detections based on azimuth electromagnetic waves: Journal of Petroleum Science and Engineering, 179, 432–443.

    Article  CAS  Google Scholar 

  • Chen, G., Fan, Y. R., Li Q. X., 2020, Using an azimuth electromagnetic wave imaging method to detect and characterize coal-seam interfaces and low-resistivity anomalies: Journal of Environmental and Engineering Geophysics, 25(1), 75–87.

    Article  Google Scholar 

  • Christophe Dupuis and Jean-Michel Denichou, 2015, Automatic inversion of deep-directional-resistivity measurements for well placement and reservoir description: The Leading Edge, 34(5), 504–512.

    Article  Google Scholar 

  • Fang Sheng, Merchant G A, Hart E, et al, 2008, Determination of structural dip and azimuthal from LWD azimuthal propagation resistivity measurements in anisotropic formation: Paper present at the 2008 SPE Annual Technical Conference and Exhibition, September 2008, Denver, Colorado, USA, SPE-116123.

  • Feng Jin, Ni Xiaowei, Yang Qing, et al, 2019, Research on array lateral logging real-time inversions based on hybrid simulated annealing algorithms: Petroleum Drilling Techniques, 47(5), 121–126.

    Google Scholar 

  • Hu, S., Li, J., Guo, H., et al., 2017, Analysis and application of the response characteristics of DLL and LWD resistivity in horizontal well: Applied Geophysics, 14(3), 351–362.

    Article  ADS  Google Scholar 

  • Jian Yang, Dzevat Omeragic, Chengbing Liu et al, 2005, Bed-boundary effect removal to aid formation resistivity interpretation from LWD propagation measurements at all dip angles: the SPWLA 46th Annual Logging Symposium, June, 26–29.

  • Li Hui, Yan Zhidan, Liu Changbo, and Jiang Yibo, 2019, Numerical simulation of the response of azimuth resistivity logging tools while drilling Journal of China University of Petroleum: Natural Science Edition, 43 (1), 11–15.

    Google Scholar 

  • Li, Q., Omeragic, D., Chou, L., Yang, L., Duong, K., Smits, J., Yang, J., Lau, T., Liu, C., Dworak, R., Dreuillault, V., and Ye, H., 2005, New directional electromagnetic tool for proactive geosteering and accurate formation evaluation while drilling: SPWLA 46th Annual Logging Symposium, 32, 51–56.

    Google Scholar 

  • Liu Qinghuo, and Chew Wengcho, 1993, A CG-FFHT method for the scattering solution of axisymmetric inhomogeneous media: Microwave and Optical Technology Letters, 6(2), 101–104.

    Article  Google Scholar 

  • Omeragic, D., Li, Q., Chou, C., Yang, L., Duong, K., Smits, J., Yang, J., Lau, T., Liu, C.B., Dworak, R., Dreuillault, V., 2005, Deep directional EM measurements for optimal well placement: Paper presented at the 2005 SPE Annual Technical Conference and Exhibition (ATCE), SPE-97045.

  • Pardo D., Torres-Verdin C., 2015, Fast 1D inversion of logging while-drilling resistivity measurements for improved estimation of formation resistivity in high-angle and horizontal wells: Geophysics, 80(2), 111–124.

    Article  ADS  Google Scholar 

  • Rabinovich M, Le Fei, Lofts J, et al, 2011, Deep how deep and what the vagaries and myths of “look around” deep-resistivity measurements while drilling: SPWLA 56th Annual Logging Symposium, June, 145–153.

  • Sun Xiangyang, Nie Zaiping, Zhao Yanwen, et al, 2008, The electro-magnetic modeling of logging-while-drilling tool in tilted ani-sotropic formations using vector finite element method: Chinese Journal of Geophysics, 51(5), 1600–1607.

    Google Scholar 

  • Wang Hanming, Barber T, Morriss C, et al, 2006, Triaxial induction logging: theory, modeling, inversion and interpretation: Paper presented at the 2006 SPE Annual Technical Conference and Exhibition, September, San Antonio, Texas, USA, SPE-103897.

  • Wang, H., Yu, L., Wang, H., et al., 2021, A hybrid algorithm for LWD azimuthal electromagnetic responses with annular grooved drill collar: Chinese Journal of Geophysics (In Chinese), 64(5), 1811–1829.

    Google Scholar 

  • Wang L, Deng S, Zhang P, et al, 2019, Detection performance and inversion processing of logging-while-drilling extra-deep azimuthal resistivity: Petroleum Science, 16, 1015–1027.

    Article  Google Scholar 

  • Wang L, Li S, Fan Y, 2020, An all-new ultradeep detection method based on hybrid dipole antennas in electromagnetic logging while drilling: IEEE Transactions on Geoscience and Remote Sensing, 58(3), 2124–2134.

    Article  ADS  Google Scholar 

  • Wang T, Meyer H, Yu L M, 2006, Dipping bed response and inversion for distance to bed for a new while-drilling resistivity measurement: 76th Annual International Meeting, SEG, Expanded Abstract, 416–420.

  • Wei Baojun, Zhang Ke, Ou Yongfeng, et al, 2013, Simulating elec-tromagnetic wave resistivity MWD tool’s response in stratified media using hybrid method and recursive matrix algorithm: Journal of China University of Petroleum: Edition of Nat-Ural Science, 37(1), 61–69

    Google Scholar 

  • Zhu Gengxue, Liu Dejun, Zhang Yingying, et al, 2015, Forward modeling of responses of an ELWD tool based on hp-FEM: Petroleum Drilling Techniques, 43(2): 63–70.

    Google Scholar 

  • Zhengming Kang, Haojie Qin, Yi Zhang, et al, 2022, Coil optimization of ultra-deep azimuthal electromagnetic resistivity logging while drilling tool based on numerical simulation: Journal of Petroleum Exploration and Production Technology, 1, 1–15.

    Google Scholar 

  • Zhengming Kang, Yi Zhang, Binbin Hou, et al, 2022, Using the multi-component induction logging data to evaluate the geometric parameters of the hydraulic fracture: Journal of Geophysics and Engineering, 19, 1163–1179.

    Article  Google Scholar 

Download references

Acknowledgments

This research is supported by the National Natural Science Foundation of China (42102350); China Postdoctoral Science Foundation (No. 2022M711442); Key R&D Plan of Shaanxi Province (Grant No. 2023-YBGY-111); General Project of middling coal Technology and Industry Group (Grant No. 2022-2-TD-MS005); Key Project of middling coal Technology and Industry Group (Grant No. 2022-2-TD-ZD006); National Key R&D Plan Tasks (Grant No. 2022YFC3005905-3).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Quan-xin Li.

Additional information

Chen Gang, associate researcher, obtained his Master’s Degree in Earth Exploration Science and Information Technology from Jilin University in 2013. In 2020, he received his Ph.D. in Geological Resources And Geological Engineering from China University of Petroleum. At present, he is at the Xi’an Research Institute of China Coal Technology and Industry Corporation, where he is engaged in geological guidance research on LWD.

Li Quan-Xin, researcher, Ph.D., master’s supervisor. He is a third-level Chief Scientist of Middling Coal Science and Engineering Group. At present, he is engaged in the research and development and promotion of coal mine underground drilling technology and equipment at the Science and Technology Innovation Research Institute.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, G., Li, Qx., Liu, Zy. et al. Detection method of coal-rock interface and low-resistivity anomalous body based on azimuth electromagnetic wave. Appl. Geophys. 20, 157–166 (2023). https://doi.org/10.1007/s11770-023-1031-1

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11770-023-1031-1

Keywords

Navigation