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

Different Machine Learning Approaches to predict Gas Deviation Factor (Z-factor)

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

A Proposed Model for Zonal Production Allocation of the Commingled Reservoirs

Annular Pressure Losses Prediction Using Power-Law Model with Polymer Water-Base Mud

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

Reservoir Pressure Determination Using “After Hydraulic Fracturing Closure Analysis” technique

Reservoir Pressure Determination Using “After Hydraulic Fracturing Closure Analysis” technique

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

A Study on Gas Compressibility Factor for Gas-Condensate Systems