Exploratory factor analysis of wireline logs using a float-encoded genetic algorithm

DOI10.1007/S11004-017-9714-XzbMath1406.86038OpenAlexW2770326284MaRDI QIDQ1719878

Mihály Dobróka, Norbert Péter Szabó

Publication date: 12 February 2019

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-017-9714-x

zbMATH Keywords

permeabilityfactor analysisshale volumeUSAHungaryfloat-encoded genetic algorithm

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Geostatistics (86A32)

Related Items (4)

Permeability extraction from multiple well logs using particle swarm optimization based factor analysis ⋮ Uncertainty reduction of interval inversion estimation results using a factor analysis approach ⋮ Semi-analytical approach to the determination of fracture permeability ⋮ Series expansion-based genetic inversion of wireline logging data

Uses Software

• Genocop
• GAToolBox

Cites Work

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• Extending the application of a shale volume estimation formula derived from factor analysis of wireline logging data
• The varimax criterion for analytic rotation in factor analysis
• Feasibility analysis of the use of binary genetic algorithms as importance samplers application to a 1-D DC resistivity inverse problem

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