Petrophysical properties and pore structure evaluation of Jaisalmer formation through quantitative interpretation based on well log and machine learning ML approaches for hydrocarbon exploration

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dc.contributor.authorYalamanchi, Pydiraju
dc.date.accessioned2024-09-03T10:28:13Z
dc.date.available2024-09-03T10:28:13Z
dc.date.issued2024-07
dc.identifier.urihttp://hdl.handle.net/123456789/3592
dc.language.isoenen_US
dc.publisherIndian Institute of Technology (Indian School of Mines) Dhanbaden_US
dc.subjectPetrophysicsen_US
dc.subjectPore Pressureen_US
dc.subjectPermeabilityen_US
dc.subjectPorosityen_US
dc.subjectPore network parametersen_US
dc.subjectPh.Den_US
dc.subjectAGPen_US
dc.subjectPH2796en_US
dc.titlePetrophysical properties and pore structure evaluation of Jaisalmer formation through quantitative interpretation based on well log and machine learning ML approaches for hydrocarbon explorationen_US
dc.typeThesisen_US
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