New progress in the technology and applications of SOTEM
XUE Guo-Qiang1,2
1. Key Laboratory of Mineral Resources, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China 2. College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
The artificial source electromagnetic method is an important technique for deep resource exploration. The key challenge is to improve the depth and precision of detection through innovative technology. The detection mode of electromagnetic methods is evolving from far-field to near-field, and the study of near-source electromagnetic methods has become an international research frontier in recent years. Building on the recent advancements in wide-field electromagnetic methods and multi-channel transient electromagnetic methods, the short-offset transient electromagnetic method (SOTEM) has been further developed and proposed. The distinguishing features of SOTEM are its stronger signals and wider bandwidth, which are advantageous for achieving the detection requirements of greater depth and higher precision. This special issue presents eight articles covering the methods, techniques, software, and applications of SOTEM, providing strong support for the growing need for high-resolution subsurface detection.
薛国强. 短偏移距瞬变电磁法探测技术与应用研究新进展[J]. 物探与化探, 2024, 48(5): 1165-1168.
XUE Guo-Qiang. New progress in the technology and applications of SOTEM. Geophysical and Geochemical Exploration, 2024, 48(5): 1165-1168.
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Muhammad Younis Khan. SOTEM测深数据反演方法[D]. 北京: 中国科学院大学, 2018.
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Muhammad Y K. Inversion method of SOTEM sounding data[D]. Beijing: University of Chinese Academy of Sciences, 2018.
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Hou D Y. Study on electromagnetic frequency sounding response based on harmonic variable point infinitesimal element[D]. Beijing: University of Chinese Academy of Sciences, 2019.
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Li H, Xue G Q, Di Q Y. Numerical analysis of land-based inline-source configuration for the controlled-source electromagnetic method[J]. Journal of Environmental and Engineering Geophysics, 2018, 23(1):47-59.
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Wu X, Xue G Q, Zhao Y, et al. A deep learning estimation of the earth resistivity model for the airborne transient electromagnetic observation[J]. Journal of Geophysical Research:Solid Earth, 2022, 127(3):e2021JB023185.
Chen W Y, Xue G Q, Zhao P, et al. SOTEM exploration and reservoir structure analysis of Yangbajain geothermal field,Xizang[J]. Chinese Journal of Geophysics, 2023, 66(11):4805-4816.
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