研究论文
Application of machine learning model in shale TOC content prediction based on well log data: enhancing model interpretability by SHAP
Ruibin Chen, Xinyu Liu, Sandong Zhou, Weixin Zhang, Hang Liu, Detian Yan, Hua Wang
China University of Geosciences
来源Earth Science Informatics
年份2025
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逐年被引趋势
840
25
826
关键指标
11
被引次数 · OpenAlex
3.55
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 6%
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同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
69
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学术脉络
学科主题
工程Hydrocarbon exploration and reservoir analysis
Geochemistry and Geologic Mapping · Machine Learning in Materials Science
参考文献 69
Support-vector-regression machine technology for total organic carbon content prediction from wireline logs in organic shale: A comparative study
被引 160Maojin Tan, Xiaodong Song, Xuan Yang · Journal of Natural Gas Science and Engineering · 2015
Selection of logging-based TOC calculation methods for shale reservoirs: A case study of the Jiaoshiba shale gas field in the Sichuan Basin
被引 55Renchun Huang, Yan Wang, Sijie Cheng · Natural Gas Industry B · 2015
Multinomial Logistic Regression for Bayesian Estimation of Vertical Facies Modeling in Heterogeneous Sandstone Reservoirs
被引 25Wathiq Jassim Mohammed Al-Mudhafer · Offshore Technology Conference Asia · 2014
此处列出前 3 条
引用本文 11
Interpretable Machine Learning for Shale Gas Productivity Prediction: Western Chongqing Block Case Study
被引 5Haijie Zhang, Ye Zhao, Yaqi Li · Processes · 2025
Ensemble machine learning-driven geostress field inversion in strike-slip fault-controlled reservoirs: A case study of the Fuman Oilfield in Tarim Basin, China
被引 4Yishuai Liu, Zhenzhong Cai, Xingliang Deng · Journal of Asian Earth Sciences · 2025
Enhanced estimation of total organic carbon in the longmaxi shale formation using supervised machine learning with lithofacies characterization via K-means clustering
被引 2Shaukat Khan, Zhishui Liu, Ziye Lu · Carbonates and Evaporites · 2026
按被引量排序,此处列出前 3 条