Intelligent Prediction of Minimum Miscibility Pressure (MMP) During CO2 Flooding Using Artificial Intelligence Techniques

Oil and Gas Wells: Enhanced Wellbore Casing Integrity Management through Corrosion Rate Prediction Using an Augmented Intelligent Approach

(2019) Dhafer A. Al-Shehri   Sustainability

Estimation of Static Young’s Modulus for Sandstone Formation Using Artificial Neural Networks

(2019) Ahmed Abdulhamid Mahmoud et al.   Energies

A Review of Underground Pipeline Leakage and Sinkhole Monitoring Methods Based on Wireless Sensor Networking

(2019) Haibat Ali et al.   Sustainability

Applying SVM framework for modeling of CO 2 solubility in oil during CO 2 flooding

(2018) Alireza Rostami et al.   FUEL

Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches

(2018) Tamer Moussa et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Data analysis for CO 2 -EOR in shale-oil reservoirs based on a laboratory database

(2018) Dheiaa Alfarge et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network

(2017) Ahmed Abdulhamid A. Mahmoud et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network

(2017) Salaheldin Elkatatny et al.   NEURAL COMPUTING & APPLICATIONS

Determination of minimum miscibility pressure for CO 2 and oil system using acoustically monitored separator

(2017) Robert Czarnota et al.   Journal of CO2 Utilization

Predicting CO 2 capture of ionic liquids using machine learning

(2017) Vishwesh Venkatraman et al.   Journal of CO2 Utilization

Real time prediction of drilling fluid rheological properties using Artificial Neural Networks visible mathematical model (white box)

(2016) Salaheldin Elkatatny et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Estimation of minimum miscibility pressure (MMP) of CO2 and liquid n-alkane systems using an improved MRI technique

(2016) Yu Liu et al.   MAGNETIC RESONANCE IMAGING

Integrated cluster analysis and artificial neural network modeling for steam-assisted gravity drainage performance prediction in heterogeneous reservoirs

(2015) Ehsan Amirian et al.   EXPERT SYSTEMS WITH APPLICATIONS

Solubility of n-alkanes in supercritical CO2 at diverse temperature and pressure

(2015) Qingzhao Shi et al.   Journal of CO2 Utilization

The ability of artificial neural network in prediction of the acid gases solubility in different ionic liquids

(2015) Mohammad Amin Sedghamiz et al.   Journal of CO2 Utilization

Intelligent model for prediction of CO2 – Reservoir oil minimum miscibility pressure

(2013) Amin Shokrollahi et al.   FUEL

Predicting CO2Minimum Miscibility Pressure (MMP) Using Alternating Conditional Expectation (ACE) Algorithm

(2013) O. Alomair et al.   Oil & Gas Science and Technology-Revue d IFP Energies nouvelles

Minimum miscibility pressure prediction based on a hybrid neural genetic algorithm

(2008) S.A. Mousavi Dehghani et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN