R. Gaskari

发表

Shale Analytics: Making Production and Operational Decisions Based on Facts: A Case Study in Marcellus Shale

S. Mohaghegh, M. Maysami, R. Gaskari, 2017 .

Performance of a virtual adsorber system for removal of lead

M. Jamil, B. Reed, P. Carriere, 1996 .

Mapping the Natural Fracture Network in Utica Shale Using Artificial Intelligence (AI)

S. Mohaghegh, M. Maysami, R. Gaskari, 2017 .

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

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

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 .

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 .

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 .

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 .

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 .

COALBED METHANE RESERVOIR SIMULATION AND UNCERTAINTY ANALYSIS WITH ARTIFICIAL NEURAL NETWORKS

Jalali Jalal, Mohaghegh Sh.D., R Gaskari, 2010 .

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 .

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 .

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 .

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

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