Well-Logging-Based Lithology Classification Using Machine Learning Methods for High-Quality Reservoir Identification: A Case Study of Baikouquan Formation in Mahu Area of Junggar Basin, NW China

Well-Logging-Based Lithology Classification Using Machine Learning Methods for High-Quality Reservoir Identification: A Case Study of Baikouquan Formation in Mahu Area of Junggar Basin, NW China

The identification of underground formation lithology is fundamental in reservoir characterization during petroleum exploration. With the increasing availability and diversity of well-logging data, automated interpretation of well-logging data is in great demand for more efficient and reliable decis...

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Bibliographic Details
Main Authors: Junlong Zhang, Youbin He, Yuan Zhang, Weifeng Li, Junjie Zhang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Energies
Subjects:
machine learning
supervised classification
lithology identification
well-logging
ensemble methods
gradient-boosted decision trees
Online Access:https://www.mdpi.com/1996-1073/15/10/3675

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https://www.mdpi.com/1996-1073/15/10/3675

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