Lithology prediction of tight sandstone formation using GS-LightGBM hybrid machine learning model

Lithology prediction of tight sandstone formation using GS-LightGBM hybrid machine learning model

Classic lithology predictors, represented by crossplot, are generally ineffective for tight sandstone formation, mainly due to a point that most lithologies present extremely similar logging responses and thus are rather difficult to be analyzed effectively via crossplot.Compared to classic pattern...

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Bibliographic Details
Main Authors: Yufeng Gu, Daoyong Zhang, Zhidong Bao, Haixiao Guo, Liming Zhou, Jihong Ren
Format: Article
Language:zho
Published: Editorial Department of Bulletin of Geological Science and Technology 2021-07-01
Series:地质科技通报
Subjects:
tight sandstone formation
lithology prediction
svm model
xgboost model
lightgbm model
gs optimizing algorithm
Online Access:https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2021.0416

Internet

https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2021.0416

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