Prediction of TOC Content in Organic-Rich Shale Using Machine Learning Algorithms: Comparative Study of Random Forest, Support Vector Machine, and XGBoost
The total organic carbon (TOC) content of organic-rich shale is a key parameter in screening for potential source rocks and sweet spots of shale oil/gas. Traditional methods of determining the TOC content, such as the geochemical experiments and the empirical mathematical regression method, are eith...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/16/10/4159 |