研究论文
A novel hybrid machine learning and explainable artificial intelligence approaches for improved source rock prediction and hydrocarbon potential in the Mandawa Basin, SE Tanzania
Christopher Nyangi Mkono, Chuanbo Shen, Alvin K. Mulashani, Grant Charles Mwakipunda, Edwin Ernest Nyakilla, Erasto E. Kasala, Fravian Mwizarubi
China University of Geosciences Mbeya University of Science and Technology Chinese Academy of Sciences Peking University
来源International Journal of Coal Geology
年份2025
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逐年被引趋势
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26
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15
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4.82
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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 99
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
Kerogen: Composition and Classification
被引 59Bernard P. Tissot, Dietrich H. Welte · Springer eBooks · 1984
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
被引 29,507Rainer Storn, Kenneth V. Price · Journal of Global Optimization · 1997
此处列出前 3 条
引用本文 15
Artificial intelligence in shale gas and oil: A comprehensive review of applications and challenges
被引 13Hang Yang, Wei Feng, Hongli Diao · Green and Smart Mining Engineering · 2025
Model Development for Brittleness Index Estimation and Depth Determination in Hydraulic Fracturing Operations in Shale Gas Reservoirs Using Machine Learning Algorithms
被引 12Grant Charles Mwakipunda, Norga Alloyce Komba, Edwin Twum Ayimadu · SPE Journal · 2025
Geology–Engineering Double Sweet Spot in Unconventional Reservoirs: A Comprehensive Review
被引 6Dong Yi, Haiyan Zhu, Zhaopeng Zhang · SPE Journal · 2025
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