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Indication of Formation Water Geochemistry for Hydrocarbon Preservation: New Applications of Machine Learning in Tight Sandstone Gas Reservoirs.

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第一作者： Zhen,Yang

第一单位： State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an710069, China.

作者： Zhen,Yang ^[1] ; Jiahao,Chen ^[2] ; Shumin,Wang ^[3] ; Xiaolong,Li ^[1] ; Wei,Cheng ^[1] ; Sisi,Chen ^[1]

作者单位： State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an710069, China. ^[1] Faculty of Earth Resources, China University of Geosciences, Wuhan430074, China.;College of Geosciences, China University of Petroleum, Beijing102249, China. ^[2] Petro China Changqing Oilfield Company Exploration and Development Research Institute, Xi'an710000, China. ^[3]

DOI 10.1021/acsomega.2c03827

PMID 36278069

发布时间 2022-10-25

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2022年7卷41期

36263-36276页

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2022年7卷41期

36263-36276页

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Indication of Formation Water Geochemistry for Hydrocarbon Preservation: New Applications of Machine Learning in Tight Sandstone Gas Reservoirs.

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Indication of Formation Water Geochemistry for Hydrocarbon Preservation: New Applications of Machine Learning in Tight Sandstone Gas Reservoirs.

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