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

In last decades the development and application of the geochemical log techniques has made possible to quantitative determination of the minerals along the drilling well.It is quite challenge to how accurate to determine the mineral composition from the elemental logs measured by the geochemical logging tool.This paper presents a methodology on quantitative determination of mineral from elemental logs by using the particle swarm optimization algorithm and its Review

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Publication Details

Published
2024-12-31
DOI
https://doi.org/10.36959/901/257
Primary Topic
Mineral Processing and Grinding
Type
article
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article

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

Zhang Yujin, Yang Li, LI Xuegui
Mineral Processing and Grinding
article

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

Zhang Yujin, Yang Li, LI Xuegui
article en

Abstract

In last decades the development and application of the geochemical log techniques has made possible to quantitative determination of the minerals along the drilling well.It is quite challenge to how accurate to determine the mineral composition from the elemental logs measured by the geochemical logging tool.This paper presents a methodology on quantitative determination of mineral from elemental logs by using the particle swarm optimization algorithm and its Review

Vol. 4(1)
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Mineral Processing and Grinding
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Quantitative Determination of the Mineralogy from Elemental Logs by using the Particle Swarm Optimization Algorithm — Zhang Yujin, Yang Li, et al. · (2024) | TGRS Research Map | TGRS