Integrated approach on AI/ML assisted log reconstruction methodology for estimation of the missing/non-recorded logs

Simple item page
dc.contributor.authorKumar, Bishnu
dc.date.accessioned2026-09-23T07:43:25Z
dc.date.issued2025-05
dc.descriptionThesis submitted in partial fulfillment of the requirements for the award of the Degree of Doctor of Philosophy (Petroleum Engineering)
dc.identifier.citationUnder the guidance of Dr. Sunil Kumar Khare, Professor, UPES & Dr. Tanupriya Choudhary, Professor, UPES
dc.identifier.urihttps://dr.ddn.upes.ac.in/handle/123456789/4574
dc.language.isoen
dc.publisherSchool of Advanced Engineering, UPES, Dehradun
dc.subjectThesis
dc.subjectPetroleum Engineering
dc.subjectArtificial Intelligence
dc.subjectMachine Learning
dc.subjectWireline Logging
dc.subjectLog Reconstruction Techniques
dc.titleIntegrated approach on AI/ML assisted log reconstruction methodology for estimation of the missing/non-recorded logs
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Bishnu_Kumar Thesis.pdf
Size:
4.17 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Thesis