Prediction Method of Lithology Log Based on XGBoost Algorithm

Prediction Method of Lithology Log Based on XGBoost Algorithm

The photoelectric absorption cross section index is an important parameter for lithology logging, and its measurement value is affected by environmental factors such as well diameter, drilling fluid density, and the gap between the logging instrument and the well wall. Therefore, it must be correcte...

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Bibliographic Details
Main Authors: CHU Qingjun, GE Yunlong, TONG Maosong, WANG Yan, AN Lyuxing, YU Chuanwu, JIA Xin
Format: Article
Language:zho
Published: Editorial Office of Well Logging Technology 2024-12-01
Series:Cejing jishu
Subjects:
lithologic logging
photoelectric absorption cross section index
machine learning
xgboost
hyperparameter optimization
Online Access:https://www.cnpcwlt.com/#/digest?ArticleID=5668
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