Comparative Analysis of Feature Selection-Based Machine Learning Techniques in Reservoir Characterization

Comparative study and analysis of the generalization performance and predictive capability of machine learning (ML) techniques in reservoir characterization and modeling is presented in this work by utilizing two distinct Oil well data sets. The performances of the ML techniques (artificial neural network (ANN) and support vector regression (SVR)) have been boosted by proposing a correlation-based feature selection approach which employs fewer...