1. Acoustic impedance and lithology-based reservoir porosity analysis using predictive machine learning algorithms;Agbadze;J. Petrol. Sci. Eng.,2022
2. A Novel Application of Artificial Neural Networks to Predict Rate of penetration[C]//SPE Western Regional Meeting;Aliyev,2019
3. Performance evaluation of machine learning-based classification with rock-physics analysis of geological lithofacies in Tarakan Basin, Indonesia;Antariksa;J. Petrol. Sci. Eng.,2022
4. A comparative analysis of K-nearest neighbor, genetic, support vector machine, decision tree, and long short term memory algorithms in machine learning;Bansal;Decision Analytics Journal,2022
5. Application of logging lithofacies identification technology in Block A of the Right Bank of the Amu-Darya River;Bao;Nat. Gas. Ind.,2013