Modeling of low salinity enhanced oil recovery applying artificial intelligence

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dc.contributor.authorThomas, Tony
dc.date.accessioned2025-02-04T12:04:52Z
dc.date.available2025-02-04T12:04:52Z
dc.date.issued2024-07
dc.descriptionThesis submitted in partial fulfillment of the requirements for the award of the Degree of Doctor of Philosophy (Petroleum Engineering)en_US
dc.identifier.citationUnder the guidance of Dr. Pushpa Sharma, Distinguished Professor, UPES & Dr. Dharmendra Kumar Gupta, Professor, UPESen_US
dc.identifier.urihttps://dr.ddn.upes.ac.in/handle/123456789/4403
dc.language.isoenen_US
dc.publisherSchool of Advanced Engineering, UPES, Dehradunen_US
dc.subjectThesisen_US
dc.subjectPetroleum Engineeringen_US
dc.subjectEarth Sciencesen_US
dc.subjectEnhanced Hydrocarbon Recoveryen_US
dc.subjectDifferent Composition Waterfloodsen_US
dc.subjectWater Flooding Processen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectScreening Methodologyen_US
dc.titleModeling of low salinity enhanced oil recovery applying artificial intelligenceen_US
dc.typeThesisen_US

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