Application of Genetic Algorithm in Magnetic Well-ground Logging Inversion
ZHANG Lixia
DAI Miao
Abstract：Magnetic well-ground logging can provide spatial distribution of geologic body and spatial variation of the magnetic field of a certain space range of the well and its surrounding, which is a kind of effective geophysical methods in borehole for exploration of magnetite and magnetic mineral deposit. Based on the plate model as the research object, the paper does the inversion test by using the nonlinear genetic algorithm inverse monolayer and multilayer plate. The results show that genetic algorithm applying in inversion of magnetic well-ground logging data is feasible, and superior to the conventional non-linear geophysical inversion methods with higher speed and a high precision of inversion.
Keywords：Genetic algorithmJoint inversionMagnetic well logging
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 52-56 )