journal article·2025-06-02Open access

Petrophysics Parameter Inversion and Its Application Based on the Transient Electromagnetic Method

Xiaozhen Teng, Jianhua Yue, Kailiang Lu, Danyang Xi, Herui Zhang, Kua Wang

Applied Sciences· Volume 15· Issue 11

Abstract

The transient electromagnetic (TEM) method is a widely used geophysical technique for detecting subsurface electrical structures. However, its inversion results are typically limited to resistivity parameters, making it challenging to directly infer key petrophysical properties, such as water saturation and porosity. This study proposes a petrophysics parameter inversion approach based on TEM data. By constructing multiple geoelectric models with varying porosities and water saturation values for numerical simulations, the results demonstrated that both the forward and inversion responses of the TEM field maintained errors within 5%. The inversion procedure begins with the reconstruction of the subsurface resistivity distribution, which reliably reflects the true geoelectric model. Based on the inverted resistivity, the water saturation and porosity parameters are subsequently estimated. The inversion results closely match the overall trend of the actual model and exhibit a clear response at the target layer. Finally, the proposed method is applied to a field test at the Tongxin Coal Mine. By integrating subsurface electrical responses with geological data, the spatial distributions of water saturation and porosity within the coal-bearing strata were delineated. This provides a scientific basis for the detailed characterization of the physical properties of coal and surrounding rock, as well as for understanding the development of pores and fractures in underground strata.
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Research context

OpenAlex topics: Geophysical and Geoelectrical Methods · Geophysical Methods and Applications · Seismic Imaging and Inversion Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China

State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China

School of Safety Engineering, China University of Mining and Technology, Xuzhou 221008, China

Shenhua Geological Exploration Co., Beijing 102218, China

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · Basic Research Program of Jiangsu

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