Hybrid computing models to predict oil formation volume factor using multilayer perceptron algorithm

Comparative analysis on the prediction of leak on gas pipeline using physical models and machine learning regression models

A Study on Gas Compressibility Factor for Gas-Condensate Systems

Enhancing Shale Gas Production Forecasting and EUR Estimation: A New Approach for Decline Curve Analysis

New Insights on Water Saturation Determination of Carbonate Reservoirs Using Artificial Intelligence Approach (AIA) and Conventional methods

Development of new models for predicting crude oil bubble point pressure, oil formation volume factor, and solution gas-oil ratio using genetic algorithm

Characterization of Lithfacies Properties of Carbonate Reservoir rocks using Machine Learning Techniques

A Proposed Model for Zonal Production Allocation of the Commingled Reservoirs

Economics of Exploiting a Marginal Heavy Oil Field in Nigeria: Deterministic and Stochastic Approach

Enhancing Geological Interpretation Efficiency and Accuracy Using Convolutional Neural Networks: A Case Study from Balsam Field, Nile Delta