基于OMAGA-BP算法的高密度电阻率法反演研究

doi:10.11720/wtyht.2023.1560

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Abstract

High-density resistivity method is widely used in engineering exploration because of its efficient and intuitive features. However, due to the high nonlinearity of the inversion problem, the traditional inversion method has some inaccuracy in describing the boundary of anomalous body. In order to achieve high precision two-dimensional nonlinear inversion imaging with high-density electrical method, to overcome the problem that a large number of saddle points in the parameter space of loss function of BP algorithm affect the calculation accuracy and that it is difficult to assign optimal weight threshold to BP network due to the precocious convergence of general genetic algorithm. In this paper,an Optimum Maintaining Adaptive Genetic Algorithm(OMAGA)is proposed to optimize the BP neural network for high density electrical two-dimensional inversion imaging. Good results have been obtained for the inversion calculation of simulation model data and measured data through this method, it shows that this method has strong generalization ability and high inversion accuracy. This study is helpful for the accurate inversion of high density resistivity method in the future,it is helpful to improve the accuracy of underground target identification.

Key words： optimum maintaining adaptive genetic algorithm BP nerual network high-density electrical method inversion accuracy

Received: 22 November 2022 Published: 23 January 2024

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	Articles by authors
	Xiang-Hao LIU
	Si-Xin LIU
	Ming-Qi HU
	Zhong-Qiu SUN
	Qian WANG

Cite this article:

Xiang-Hao LIU,Si-Xin LIU,Ming-Qi HU, et al. Research on inversion of high-density resistivity method based on OMAGA-BP algorithm[J]. Geophysical and Geochemical Exploration, 2023, 47(6): 1519-1527.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2023.1560 OR https://www.wutanyuhuatan.com/EN/Y2023/V47/I6/1519

Schematic diagram of three-layer BP neural network structure

Schematic diagram of single neuron formula

2D OMAGA-BP high-density electrical inversion imaging diagram

Schematic diagram of some resistivity model samples

Performance comparison of three networks trained with simulated data

Schematic diagram of the test model and inversion imaging results of different methods
a—schematic diagram of the test resistivity model;b—least-squares inversion result of resistivity model;c—BP inversion result;d—GA-BP inversion result;e—OMAGA-BP inversion result

Bomb shelter and its data acquisition diagram

Inversion results of air raid shelter data by four inversion methods
a—least-squares inversion result;b—BP inversion result;c—GA-BP inversion result; d—OMAGA-BP inversion result

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