Geometrical physical property multi-feature parameter extraction method for multi-phase medium

Abstract

The invention relates to a geometrical physical property multi-feature parameter extraction method for a multi-phase medium, and aims to extract geometrical features and physical property parameters of an underground multi-phase medium at the same time and improve the accuracy of geological identification. Based on a generalized equivalent polarization model, an underground medium is defined to be composed of surrounding rock, a strong polarization medium and a weak polarization medium; time domain magnetic field response of the double-phase and multi-phase media is calculated under trapezoidal wave excitation, and a target function is formed with magnetic field data acquired by the superconducting quantum sensor; urrounding rock conductivity is calculated as a constraint condition according to the actually measured magnetic field early data; and aiming at the multi-dimensional and less-constraint conditions of extracted parameters, dimensions are set to correspond to a double-phase medium and a multi-phase medium respectively, parameter extraction is carried out by adopting a quantum particle swarm optimization algorithm respectively, and a double-phase medium extraction result is used as a constraint condition during multi-phase medium extraction. The method better conforms to the intrinsic characteristics of underground multiphase media, global extraction of multidimensional parameters is effectively achieved, and the extraction speed and accuracy are improved.

Description

technical field [0001] The invention relates to the field of transient electromagnetic exploration, in particular to a method for extracting geometry-physical property multi-feature parameters for multi-phase media. Background technique [0002] In the field of transient electromagnetic exploration, the apparent resistivity function at different times reflecting the electrical distribution of the underground conductive medium is obtained by preprocessing and inverting the received data, and then the apparent conductivity-depth imaging is realized. At present, domestic mineral mining and exploration have gradually developed towards complex mines and concealed mines. For complex geological structures, traditional conductivity interpretation methods are not enough to accurately identify the composition and distribution of subsurface media. In addition to the characteristics of electrical conductivity, the actual ore-bearing geological body also includes geometric characteristi...

AI Technical Summary

Problems solved by technology

[0006] The object of the present invention is to establish a generalized equivalent polarization model according to the complex characteristics...

Images