Pages: 37-46

Authors: Bo Xie, Lijiao Zhang, and Shangping Xie

Abstract

The physical problem of element yield inversion is transformed into a mathematical problem of solving overdetermined equations, then the particle swarm optimization algorithm is used to find the optimal solution of the system of equations to obtain the yield of formation elements. During the inversion process, relevant parameters such as the objective function, inertia weight factor, and learning factor are designed and optimized to make the particle swarm optimization algorithm more suitable for gamma spectrum signal processing, avoiding local extremum problems during the optimization process and improving the accuracy of element yield inversion. The calculation results show that compared with the traditional least squares method, the particle swarm optimization algorithm used in this paper can effectively invert the multi-peak gamma spectrum signal, with high inversion accuracy, and can effectively calculate the yield of trace elements.

Key words: neutron gamma logging, formation element, gamma spectrum, inversion of element yield, particle swarm optimization

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