Machine learning model to predict the contact of angle using mineralogy, TOC and process parameters in shale

• Main Authors: Ameenuddin Irfan, S., Fadhli, M.Z., Padmanabhan, E.
• Format: Conference or Workshop Item
• Published: European Association of Geoscientists and Engineers, EAGE 2021
• 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/
• Institution: Universiti Teknologi Petronas

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...