Journal of Petrochemical Engineering

Review Article Pages 86-95

Quantitative Determination of the Mineralogy from Elemental Logs by using the Particle Swarm Optimization Algorithm

Authors: Yujin ZHANG, Yang LI and Xuegui LI

Abstract: The purpose of this paper is to demonstrate the application of particle swarm optimization (PSO) algorithm for quantitative determination of mineral composition from the elemental logs in complex reservoirs. The mineralogy is necessary for the petrophysical and geological evaluation of the complex or unconventional reservoirs. Some common chemical elements in reservoir can be detected by the modern Geochemical logging technologies, and elemental weight fraction can obtained. The accurate conversion of elemental weight fraction to mineral content is the key and foundation for the subsequent applications in oil & gas exploration and development.

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