S. Mohaghegh

Shahab Mohaghegh, Faisal Alenezi, S. Mohaghegh, 2016, 2016 4th Saudi International Conference on Information Technology (Big Data Analysis) (KACSTIT).

Pressure History Matching for CO2 Storage in Saline Aquifers: Case Study for Citronelle Dome

Shahab D. Mohaghegh, Alireza Shahkarami, Vida Gholami, 2013 .

Pattern visualization and understanding of machine learning models for permeability prediction in tight sandstone reservoirs

Yanan Sun, Guoyin Zhang, Zhizhang Wang, 2020 .

Economic Impact of Reservoir Properties, Horizontal Well Length and Orientation on Production from Shale Formations: Application to New

Shahab D. Mohaghegh, Albany Shale, A. Kalantari Dahaghi, 2009 .

A new practical approach in modelling and simulation of shale gas reservoirs: application to New Albany Shale

Shahab D. Mohaghegh, Amirmasoud Kalantari-Dahaghi, S. Mohaghegh, 2011 .

Reservoir Simulation Using Smart Proxy in SACROC Unit - Case Study

Shahab D. Mohaghegh, Qin He, Zhikun Liu, 2016 .

Applications of smart proxies for subsurface modeling

Shahab D. Mohaghegh, Alireza Shahkarami, S. Mohaghegh, 2020 .

Data-Driven Reservoir Modeling

S. Mohaghegh, 2017 .

Reservoir Simulation and Modeling Based on Pattern Recognition

Shahab D. Mohaghegh, S. Mohaghegh, 2011 .

Full field reservoir modeling of shale assets using advanced data-driven analytics

Shahab D. Mohaghegh, Soodabeh Esmaili, S. Mohaghegh, 2016 .

Case Study: Frac-Hit Occurrence Prediction in Shale Wells Using Artificial Intelligence

S. Mohaghegh, Mehrdad Zamirian, 2023, Day 2 Thu, March 16, 2023.

Subsurface analytics: Contribution of artificial intelligence and machine learning to reservoir engineering, reservoir modeling, and reservoir management

S. Mohaghegh, 2020 .

Shale Descriptive Analytics; Which Parameters are Controlling Production in Shale

Shahab D. Mohaghegh, S. Mohaghegh, 2019, Day 2 Tue, October 01, 2019.

Modeling Average Pressure and Volume Fraction of a Fluidized Bed Using Data-Driven Smart Proxy

Mohaghegh, M. Shahnam, J. Dietiker, 2019, Fluids.

A Parametric Study on the Benefits of Drilling Horizontal and Multilateral Wells in Coalbed Methane Reservoirs

Shahab D. Mohaghegh, Emre Artun, Nikola Maricic, 2005 .

Uncertainty Analysis of a Giant Oil Field in the Middle East Using Surrogate Reservoir Model

Shahab D. Mohaghegh, Razi Gaskari, Hafez H. Hafez, 2006 .

A Parametric Study on the Benefits of Drilling Horizontal and Multilateral Wells in

Nikola Maricic, Shahab D. Mohaghegh, Emre Artun, 2008 .

Application of Machine Learning and Artificial Intelligence in Proxy Modeling for Fluid Flow in Porous Media

Shahab Mohaghegh, S. Amini, S. Mohaghegh, 2019, Fluids.

Developing a Smart Proxy for the SACROC Water-Flooding Numerical Reservoir Simulation Model

S. Mohaghegh, F. Alenezi, 2017 .

Modeling pressure and saturation distribution in a CO 2 storage project using a Surrogate Reservoir Model (SRM)

Shahab D. Mohaghegh, Alireza Shahkarami, Alireza Haghighat, 2014 .

Reservoir simulation and modeling based on artificial intelligence and data mining (AI&DM)

Shahab D. Mohaghegh, S. Mohaghegh, 2011 .

Development of Surrogate Reservoir Model (SRM) for fast track analysis of a complex reservoir

Shahab D. Mohaghegh, Hafez H. Hafez, Abi Modavi, 2009 .

Reservoir Characterization Through Synthetic Logs

M. Bhuiyan, Andrei Popa, Shahab D. Mohaghegh, 2000 .

Development Of An Intelligent Systems Approach For Restimulation Candidate Selection

Shahab D. Mohaghegh, S. R. Reeves, David G. Hill, 2000 .

Petroleum reservoir characterization with the aid of artificial neural networks

Shahab D. Mohaghegh, Sam Ameri, R. S. Nutter, 1996 .

Design and Development of An Artificial Neural Network for Estimation of Formation Permeability

Shahab D. Mohaghegh, Samuel Ameri, Reza Arefi, 1995 .

State-Of-The-Art in Permeability Determination From Well Log Data: Part 2- Verifiable, Accurate Permeability Predictions, the Touch-Stone of All Models

Shahab D. Mohaghegh, Samuel Ameri, B. Balan, 1995 .

Artificial Intelligence and Data Mining: Enabling Technology for Smart Fields

Shahab D. Mohaghegh, S. Mohaghegh, 2009 .

Identification of Parameters Influencing the Response of Gas Storage Wells to Hydraulic Fracturing With the Aid of a Neural Network

Shahab D. Mohaghegh, D. S. McVey, S. Mohaghegh, 1996 .

An Intelligent Portfolio-Management Approach to Gas Storage Field Deliverability Maintenance and Enhancement: Part One--Database Development and Model Building

Shahab D. Mohaghegh, Razi Gaskari, Kazim Ali Malik, 2006 .

Benchmarking of Restimulation Candidate Selection Techniques in Layered, Tight Gas Sand Formations Using Reservoir Simulation

Shahab D. Mohaghegh, G. J. Koperna, S. R. Reeves, 2000 .

Determining in-situ stress profiles of hydrocarbon reservoirs from geophysical well logs using intelligent systems

S. Ameri, S. Mohaghegh, S. Wolhart, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Determining In-Situ Stress Profiles From Logs

Shahab D. Mohaghegh, Razi Gaskari, Andrei Popa, 2004 .

Geomechanical Properties of Unconventional Shale Reservoirs

Shahab D. Mohaghegh, Soodabeh Esmaili, Mohammad O. Eshkalak, 2014 .

The Application of ANN for Zone Identification in a Complex Reservoir

Shahab D. Mohaghegh, A. C. White, D. Molnar, 1995 .

A New Method for Production Data Analysis To Identify New Opportunities in Mature Fields: Methodology and Application

Shahab D. Mohaghegh, Razi Gaskari, Jalal Jalali, 2005 .

CO2 Storage in Depleted Gas Reservoirs

S. Amini, S. Mohaghegh, 2018 .

A Type-Curve Solution for Coal Seam Degasification Wells Producing Under Two-Phase Flow Conditions

Turgay Ertekin, Shahab D. Mohaghegh, T. Ertekin, 1991 .

Performance Drivers in Restimulation of Gas Storage Wells

Andrei Popa, Shahab D. Mohaghegh, Sam Ameri, 1999 .

Frac-Hit Dynamic Modeling using Artificial Intelligence and Machine Learning

Shahab D. Mohaghegh, S. Mohaghegh, 2020 .

Recent Developments in Application of Artificial Intelligence in Petroleum Engineering

Shahab D. Mohaghegh, S. Mohaghegh, 2005 .

Data-Driven Reservoir Management of a Giant Mature Oilfield in the Middle East

Yasaman Khazaeni, Shahab D. Mohaghegh, Razi Gaskari, 2014 .

Pattern Recognition and Data-Driven Analytics for Fast and Accurate Replication of Complex Numerical Reservoir Models at the Grid Block Level

Grant S. Bromhal, Shahab D. Mohaghegh, Razi Gaskari, 2014 .

Application of Surrogate Reservoir Models (SRM) to am Onshore Green Field in Saudi Arabia; Case Study

Shahab D. Mohaghegh, Razi Gaskari, Jim S. Liu, 2012 .

Modeling and History Matching of Hydrocarbon Production from Marcellus Shale Using Data Mining and Pattern Recognition Technologies

Shahab D. Mohaghegh, Soodabeh Esmaili, Amirmasoud Kalantari Dahaghi, 2012 .

Fast Track Analysis of Shale Numerical Models

Shahab D. Mohaghegh, Soodabeh Esmaili, Amirmasoud Kalantari Dahaghi, 2012 .

Converting detail reservoir simulation models into effective reservoir management tools using SRMs; case study – three green fields in Saudi Arabia

Shahab D. Mohaghegh, S. Mohaghegh, 2014 .

Reservoir Simulation and Uncertainty Analysis of Enhanced CBM Production Using Artificial Neural Networks

Shahab D. Mohaghegh, Jalal Jalali, J. Jalali, 2009 .

Quantifying Uncertainties Associated With Reservoir Simulation Studies Using a Surrogate Reservoir Model

Shahab D. Mohaghegh, S. Mohaghegh, 2006 .

Development of Surrogate Reservoir Models (SRM) For Fast Track Analysis of Complex Reservoirs

Shahab D. Mohaghegh, Hafez H. Hafez, Maher Mahmoud Kenawy, 2006 .

A Methodological Approach for Reservoir Heterogeneity Characterization Using Artificial Neural Networks

Shahab D. Mohaghegh, Samuel Ameri, Reza Arefi, 1994 .

Using artificial neural networks to generate synthetic well logs

Shahab D. Mohaghegh, Razi Gaskari, Sam Ameri, 2009 .

Performance of a Virtual Runoff Hydrograph System

Razi Gaskari, Patrick Carriere, Shahab D. Mohaghegh, 1996 .

Grid-Based Surrogate Reservoir Modeling (SRM) for Fast Track Analysis of Numerical Reservoir Simulation Models at the Grid block Level

Grant S. Bromhal, Shahab D. Mohaghegh, Razi Gaskari, 2012 .

Data-Driven Analytics for the Geological Storage of CO2

Shahab Mohaghegh, S. Mohaghegh, 2018 .

Fuzzy upscaling in reservoir simulation: An improved alternative to conventional techniques

Shahab D. Mohaghegh, Vida Gholami, S. Mohaghegh, 2011 .

Essential Components of an Integrated Data Mining Tool for the Oil & Gas Industry, With an Example Application in the DJ Basin

Sh.D. Mohaghegh, S. Mohaghegh, 2008 .

Identification of Contaminanted Data in Hydraulic Fracturing Databases: Application to the Codell Formation in the DJ Basin

Shahab D. Mohaghegh, Andrei Popa, Razi Gaskari, 2003 .

Automatic hydraulic fracturing design for low permeability reservoirs using artificial intelligence

Andrei Popa, Shahab D. Mohaghegh, S. Mohaghegh, 2004 .

Intelligent Production Modeling Using Full Field Pattern Recognition

Yasaman Khazaeni, Shahab D. Mohaghegh, S. Mohaghegh, 2011 .

AN INTELLIGENT SYSTEM’S APPROACH FOR REVITALIZATION OF BROWN FIELDS USING ONLY PRODUCTION RATE DATA

Shahab D. Mohaghegh, Razi Gaskari, S. Mohaghegh, 2009 .

An Integrated Technique for Production Data Analysis with Application to Mature Fields

Shahab D. Mohaghegh, Razi Gaskari, Jalal Jalali, 2007 .

SPE 132643 Intelligent Time Successive Production Modeling

Y. Khazaeni, S. D. Mohaghegh, S. Mohaghegh, 2010 .

Fieldwide Reservoir Characterization Based on a New Technique of Production Data Analysis: Verification Under Controlled Environment

Shahab D. Mohaghegh, Razi Gaskari, Domingo J. Mata, 2007 .

Identifying Infill Locations and Underperformer Wells in Mature Fields Using Monthly Production Rate Data, Carthage Field, Cotton Valley Formation, Texas

Shahab D. Mohaghegh, Razi Gaskari, Jalal Jalali, 2006 .

Production and Pressure Decline Curves for Wet Gas Sands With Closed Outer Boundaries

T. Ertekin, S. Mohaghegh, 1991 .

Understanding the Impact of Rock Properties and Completion Parameters on Estimated Ultimate Recovery in Shale

Shahab D. Mohaghegh, S. Mohaghegh, Faegheh Javadi, 2015 .

NATURAL GAS STORAGE ENGINEERING

Shahab D. Mohaghegh, Kashy Aminian, S. Mohaghegh, 2009 .

Coupling numerical simulation and machine learning to model shale gas production at different time resolutions

Shahab D. Mohaghegh, Soodabeh Esmaili, Amirmasoud Kalantari-Dahaghi, 2015 .

Determining the main drivers in hydrocarbon production from shale using advanced data-driven analytics – A case study in Marcellus shale

Shahab D. Mohaghegh, S. Mohaghegh, 2016 .

Formation vs. Completion: Determining the Main Drivers Behind Production From Shale – A Case Study Using Data-Driven Analytics

Shahab D. Mohaghegh, S. Mohaghegh, 2015 .

Shale Asset Production Evaluation by Using Pattern Recognition

Shahab D. Mohaghegh, Soodabeh Esmaili, Amirmasoud Kalantari-Dahaghi, 2015 .

Which Parameters Control Production in Shale Assets? A Pattern Recognition Study

Shahab D. Mohaghegh, Soodabeh Esmaili, Amirmasoud Kalantari-Dahaghi, 2013 .

URTeC : 2147904 Formation vs . Completion : Determining the Main Drivers behind Production from Shale ; a Case Study Using Data-Driven Analytics

W. Virginia, S. Mohaghegh, 2015 .

Forecasting, Sensitivity and Economic Analysis of Hydrocarbon Production from Shale Plays Using Artificial Intelligence & Data Mining

Shahab D. Mohaghegh, Soodabeh Esmaili, Amirmasoud Kalantari Dahaghi, 2012 .

Top-down, intelligent reservoir modelling of oil and gas producing shale reservoirs: case studies

Shahab D. Mohaghegh, Amirmasoud Kalantari-Dahaghi, Grant Bromhal, 2012 .

TOP -DOWN INTELLIGENT RESERVOIR MODELING (TDIRM); A NEW APPROACH IN RESERVOIR MODELING BY INTEGRATING CLASSIC RESERVOIR ENGINEERING WITH ARTIFICIAL INTELLIGENCE & DATA MINING TECHNIQUES

Shahab D. Mohaghegh, S. Mohaghegh, 2009 .

Forecasting US Natural Gas Production into year 2020: a comparative study.

Anangela Garcia, Shahab D. Mohaghegh, S. Mohaghegh, 2004 .

Production Analysis of a Niobrara Field Using Intelligent Top-Down Modeling

Shahab D. Mohaghegh, David Moreno, Vida Gholami, 2014 .

Predicting Well-Stimulation Results in a Gas-Storage Field in the Absence of Reservoir Data With Neural Networks

Shahab D. Mohaghegh, Sam Ameri, Dan McVey, 1996 .

Uncertainty Analysis of a CO2 Sequestration Project Using Surrogate Reservoir Modeling Technique

Grant S. Bromhal, Shahab D. Mohaghegh, Razi Gaskari, 2012 .