Machine learning model to predict the contact of angle using mineralogy, TOC and process parameters in shale
A machine learning is needed to predict the contact angle in the shale using the process parameters and TOC and Minerology of the shale. Minerology and Total Organic Carbon (TOC) content are some of the important parameters to be evaluated for reservoir characterization. Wettability is the capabilit...
| Main Authors: | Ameenuddin Irfan, S., Fadhli, M.Z., Padmanabhan, E. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29488 / |
| Published: |
European Association of Geoscientists and Engineers, EAGE
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111074226&doi=10.3997%2f2214-4609.202171009&partnerID=40&md5=c18a347bae53151fc765613596b5e658 http://eprints.utp.edu.my/29488/ |
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