Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China
Abstract Lithofacies form the basis for evaluating shale gas fields and play an important role in gas reservoir enrichment. The accurate identification of shale lithofacies is key for exploration and development. Based on well‐logged data, the accuracy of mineral content prediction using machine‐lea...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-11-01
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Series: | Energy Science & Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1002/ese3.1579 |