Xiaohong Jin, Wei Chen, Ivan Y Sun, Lin Liu
Physical health, school performance and delinquency: A comparative study of left-behind and non-left-behind children in rural China
Child abuse & neglect
understanding water saturation levels tight gas carbonate reservoirs vital optimizing hydrocarbon production mitigating challenges reduced permeability due water saturation sw pore throat blockages given critical role managing capillary pressure water drive mechanisms reservoirs traditional sediment characterization methods core analysis often costly invasive lack comprehensive spatial information recent years several classical machine learning models developed address shortcomings traditional machine learning methods utilized reservoir characterization encounter various challenges including ability capture intricate relationships potential overfitting handling extensive multidimensional datasets moreover methods often face difficulties dealing temporal dependencies subtle patterns within geological formations particularly evident heterogeneous carbonate reservoirs consequently despite technological advancements enhancing reliability interpretability applicability predictive models remains imperative effectively characterizing tight gas carbonate reservoirs study employs novel datadriven strategy prediction water saturation tight gas reservoir powered three recurrent neural network type deepshallow learning algorithmsgated recurrent unit gru recurrent neural networks rnn long shortterm memory lstm support vector machine svm knearest neighbor knn decision tree dtcustomized accurately forecast sequential sedimentary structure data models optimized using adams optimizer algorithm demonstrated impressive performance predicting water saturation levels using conventional petrophysical data particularly gru model stood achieving remarkable accuracy rsquared value 09973 minimal errors rmse 00198 compared lstm rnn svm knn dt algorithms thus showcasing proficiency processing extensive datasets effectively identifying patterns achieving unprecedented accuracy levels study enhances understanding sediment properties fluid saturation dynamics also offers practical implications reservoir management hydrocarbon exploration complex geological settings insights pave way reliable efficient decisionmaking processes thereby advancing forefront reservoir engineering petroleum geoscience