Ultra-high density resistivity method parallel inversion method based on weighted multi-strategy leapfrogging algorithm

Abstract

The invention discloses an ultra-high density resistivity method parallel inversion method based on a weighted multi-strategy leapfrogging algorithm. The method comprises the steps: adding a weighting coefficient to the local search of the leapfrogging algorithm so as to improve the algorithm's capability of jumping out of a local extreme value; introducing the least square search strategy to the local search of the leapfrogging algorithm so as to achieve the multi-strategy local search; employing the directed search characteristics of the least square method to improve the local convergence speed of the algorithm; employing the CUDA technology for the parallel calculation of the adaptability of each fog and the local search process of each meme group, thereby improving the total calculation efficiency of the algorithm. The method can achieve the optimal inversion according to the features of an ultra-high density resistivity method, can remarkably improve the inversion quality and efficiency of the ultra-high density resistivity method, and is very high in practicality.

Description

technical field [0001] The invention relates to the field of geophysical electrical inversion, in particular to an ultra-high-density electrical parallel inversion method based on a weighted multi-strategy leapfrog algorithm. Background technique [0002] The ultra-high-density electrical method is an exploration method developed on the basis of the high-density electrical method. It uses a multi-channel array electrode system measurement system to lay out an array electrode system on the surface or well-ground to collect data about the underground resistivity between any electrodes. A large amount of measured data of information, and use advanced forward and inversion methods to reconstruct accurate resistivity images. The ultra-high-density electrical method is a new exploration method with low cost, high acquisition efficiency, rich information and high interpretation accuracy, which can meet the engineering needs of high-precision positioning of geological bodies. [00...

AI Technical Summary

Problems solved by technology

However, the ultra-high-density electrical method has a large amount of collected data, many inversion parameters, and a large model search space. The convergence speed of the nonlinear inversion method is slow and the calculation efficiency is low.

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