基于差分进化算法的瞬变电磁一维反演

doi:10.13810/j.cnki.issn.1000-7210.2024.02.016

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Abstract The transient electromagnetic （TEM） data collected in practice encompasses both electromagnetic induction and induced polarization （IP） effects. Accurately extracting information on resistivity and polarization is crucial in the interpretation of electrical source TEM data. Therefore， firstly， the forward modeling is achieved by the finite-length electric source TEM method with a Cole-Cole complex resistivity model. On this basis， a one-dimensional inversion method of electrical source TEM based on a differential evolution algorithm is proposed. Based on the traditional differential evolution algorithm， the reverse learning strategy and the adaptive adjustment of control parameters are introduced to accelerate the convergence of the inversion. Meanwhile， constraint conditions are introduced into the objective function to form the minimum structure inversion， which reduces the multi-solution of the inversion. Based on the typical three-layer geoelectric model and complex multilayer model， the theoretical model is tested， and the resistivity and polarization of the model can be effectively restored by the inversion results. Finally， the measured data are used for inversion， and the inversion resistivity is consistent with that obtained by OCCAM. On the basis of the resistivity constraint， the polarization information is obtained by further inversion. Based on this resistivity constraint， further inversion is performed to obtain polarization information. The inversion results indicate that the algorithm proposed in this paper can accurately extract resistivity information from the measured data and obtain polarization distribution of underground media. It demonstrates the accuracy and applicability of the algorithm.

Key words： one-dimensional inversion adaptive differential evolution algorithm reverse learning strategy resistivity polarization transient electromagnetic

Received: 13 August 2023

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P631

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	Articles by authors
	WANG Shaojie
	ZHOU Lei
	XIE Xingbing
	MAO Yurong
	CHENG Jianzhong
	YAN Liangjun

Cite this article:

WANG Shaojie,ZHOU Lei,XIE Xingbing等. Transient electromagnetic one-dimensional inversion based on differential evolution algorithm[J]. OGP, 2024, 59(2): 343-351.

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http://www.ogp-cn.com/EN/10.13810/j.cnki.issn.1000-7210.2024.02.016 OR http://www.ogp-cn.com/EN/Y2024/V59/I2/343

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