Comparative Study on Total Organic Carbon Content Logging Prediction Method Based on Machine Learning

Comparative Study on Total Organic Carbon Content Logging Prediction Method Based on Machine Learning

The lithology of the first member of the Maokou formation in the Middle Permian of Central Sichuan is complex and the longitudinal variation is large. There are many influencing factors and difficulty in the prediction of total organic carbon content, so it is particularly important to explore the m...

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Bibliographic Details
Main Authors: TANG Shengshou, YANG Bin, JIN Jiulong, LIU Hongrui, DAI Xingyu, PU Jincheng
Format: Article
Language:zho
Published: Editorial Office of Well Logging Technology 2024-08-01
Series:Cejing jishu
Subjects:
log interpretation
total organic carbon content
δlogr method
xgboost algorithm
bp neural network
support vector machine
machine learning
Online Access:https://www.cnpcwlt.com/#/digest?ArticleID=5616
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