Prediction of Total Organic Carbon Content in Shale Based on PCA-PSO-XGBoost

Prediction of Total Organic Carbon Content in Shale Based on PCA-PSO-XGBoost

Total organic carbon (TOC) content is an important parameter for evaluating the abundance of organic matter in, and the hydrocarbon production capacity, of shale. Currently, no prediction method is applicable to all geological conditions, so exploring an efficient and accurate prediction method suit...

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Bibliographic Details
Main Authors: Yingjie Meng, Chengwu Xu, Tingting Li, Tianyong Liu, Lu Tang, Jinyou Zhang
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
shale
total organic carbon
principal component analysis
particle swarm optimization
machine learning
Online Access:https://www.mdpi.com/2076-3417/15/7/3447
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