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One-dimensional inversion of central loop transient electromagnetic data based on transverse constraints |
WU Guo-Pei( ), ZHANG Ying-Ying( ), ZHAO Hua-Liang, ZHOU Zhong-Hang, LI Yi-bin |
School of Geology and Mining Engineering, Xinjiang University, Urumqi 830047, China |
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Abstract To ensure the transverse continuity of the inversion results of central loop transient electromagnetic (TEM) data, it is practical to combine multiple survey points into a whole by applying transverse constraints and to establish correlations between adjacent survey points. This study employed the constraints of weighted transverse and vertical roughness to improve the correlations between adjacent survey points and thus to improve the inversion accuracy. Furthermore, this study introduced the adaptive regularization factor, which was obtained adaptively by calculating the norms of the data and the model objective functions in each iteration. In this manner, the dependence on the initial model can be reduced. Finally, using the algorithm developed, this study conducted the inversion of the measured data and data from three-dimensional forward modeling based on the unstructured time-domain finite element method. The inversion results are consistent with the actual results, indicating that the proposed algorithm in this study can enhance the continuity of the inversion results and has a high anti-noise ability.
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Received: 02 August 2022
Published: 11 October 2023
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Schematic diagram of the 3D theoretical model
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View of 3D theoretical model
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Single-point inversion
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Inversion results of different lateral weighting factors
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Inversion results of different vertical weighting factors
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Inversion results of lateral weighting factor 0.5 and vertical weighting factor 0.1
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Inversion results of white Gaussian noise with different degrees
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Lateral constrained inversion results of white Gaussian noise with c =1 (lateral weighting factor 0.5, vertical weighting factor 0.1)
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Processing results of transient electromagnetic exploration in Heijing County
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