Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/577954
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dc.coverage.spatial
dc.date.accessioned2024-07-23T10:37:17Z-
dc.date.available2024-07-23T10:37:17Z-
dc.identifier.urihttp://hdl.handle.net/10603/577954-
dc.description.abstractAvailable newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titlePetrophysical properties and pore structure evaluation of Jaisalmer formation through quantitative interpretation based on well log and machine learning ML approaches for hydrocarbon exploration
dc.title.alternative
dc.creator.researcherYalamanchi, Pydiraju
dc.subject.keywordGeochemistry and Geophysics
dc.subject.keywordGeosciences
dc.subject.keywordPhysical Sciences
dc.description.note
dc.contributor.guideGupta, Saurabh Datta
dc.publisher.placeDhanbad
dc.publisher.universityIndian Institute of Technology (ISM), Dhanbad
dc.publisher.institutionDepartment of Applied Geophysics
dc.date.registered2017
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Applied Geophysics

Files in This Item:
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01_title.pdfAttached File360.67 kBAdobe PDFView/Open
02_prelim pages.pdf1.28 MBAdobe PDFView/Open
03_content.pdf227.68 kBAdobe PDFView/Open
04_abstract.pdf239.02 kBAdobe PDFView/Open
05_chapter 1.pdf730.92 kBAdobe PDFView/Open
06_chapter 2.pdf1.07 MBAdobe PDFView/Open
07_chapter 3.pdf1.85 MBAdobe PDFView/Open
08_chapter 4.pdf1.91 MBAdobe PDFView/Open
09_chapter 5.pdf1.73 MBAdobe PDFView/Open
10_annexures.pdf1.16 MBAdobe PDFView/Open
11_chapter 6.pdf351.64 kBAdobe PDFView/Open
80_recommendation.pdf709.32 kBAdobe PDFView/Open


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