首页|Data on Machine Learning Described by Researchers at Xi'an Jiaotong University (Machine Learning Method for Shale Gas Adsorption Capacity Prediction and Key Influencing Factors Evaluation)
Data on Machine Learning Described by Researchers at Xi'an Jiaotong University (Machine Learning Method for Shale Gas Adsorption Capacity Prediction and Key Influencing Factors Evaluation)
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Investigators discuss new findings in Machine Learning. According to news reporting originating in Shaanxi, People's Republic of China, by NewsRx journalists, research stated, "Shale gas plays a pivotal role in the global energy landscape, emphasizing the need for accurate shale gas-in-place (GIP) prediction to facilitate effective production planning. Adsorbed gas in shale, the primary form of gas storage under reservoir conditions, is a critical aspect of this prediction." Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China (NSFC), Innovative Talent Promotion Plan of Shaanxi Province-Scientific and Technological Innovation Team, Zhuhai Innovation and Entrepreneurship Team Project, Key Technologies and Industrialization of Solar Powered Multi-Energy Conversion and Complementary Integrated Electricity, Heating and Hydrogen Energy System.
ShaanxiPeople's Republic of ChinaAsiaAlkanesCyborgsEmerging TechnologiesMachine LearningMethaneXi'an Jiaotong University
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