HIGHLIGHTS
- who: Formation and collaborators from the Urmia University, Iran have published the Article: Diagenetic facies characteristics and quantitative prediction via wireline logs based on machine learning: A case of Lianggaoshan tight sandstone, fuling area, Southeastern Sichuan Basin, Southwest China, in the Journal: (JOURNAL)
- what: The aim of this study is to compare the advantages and disadvantages of four types of algorithms in diagenetic facies prediction, and to provide suggestions for diagenetic facies prediction in tight sandstone with limited sample data. The gradient descent method was used to establish the model in this study, and the . . .
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