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Shahab D. Mohaghegh
Shahab D. Mohaghegh
Professor of Petroleum & Natural Gas Engineering at West Virginia University
Geverifieerd e-mailadres voor mail.wvu.edu - Homepage
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Virtual-intelligence applications in petroleum engineering: Part 1—Artificial neural networks
S Mohaghegh
Journal of Petroleum Technology 52 (09), 64-73, 2000
608*2000
State-of-the-art in permeability determination from well log data: Part 1-A comparative study, model development
B Balan, S Mohaghegh, S Ameri
SPE Eastern Regional Meeting, SPE-30978-MS, 1995
2571995
Design and development of an artificial neural network for estimation of formation permeability
S Mohaghegh, R Arefi, I Bilgesu, S Ameri, D Rose
SPE Computer Applications 7 (06), 151-154, 1995
2461995
Petroleum reservoir characterization with the aid of artificial neural networks
S Mohaghegh, R Arefi, S Ameri, K Aminiand, R Nutter
Journal of Petroleum Science and Engineering 16 (4), 263-274, 1996
2311996
Recent developments in application of artificial intelligence in petroleum engineering
SD Mohaghegh
Journal of Petroleum Technology 57 (04), 86-91, 2005
1802005
A new approach for the prediction of rate of penetration (ROP) values
HI Bilgesu, LT Tetrick, U Altmis, S Mohaghegh, S Ameri
SPE Eastern Regional Meeting, SPE-39231-MS, 1997
1631997
Using artificial neural networks to generate synthetic well logs
L Rolon, SD Mohaghegh, S Ameri, R Gaskari, B McDaniel
Journal of Natural Gas Science and Engineering 1 (4-5), 118-133, 2009
1562009
Permeability determination from well log data
S Mohaghegh, B Balan, S Ameri
SPE formation evaluation 12 (03), 170-174, 1997
1471997
Virtual-intelligence applications in petroleum engineering: part 3—fuzzy logic
S Mohaghegh
Journal of petroleum technology 52 (11), 82-87, 2000
1332000
Artificial neural network as a valuable tool for petroleum engineers
S Mohaghegh, S Ameri
Paper SPE 29220, 1-6, 1995
1331995
A methodological approach for reservoir heterogeneity characterization using artificial neural networks
S Mohaghegh, R Arefi, S Ameri, MH Hefner
SPE Annual Technical Conference and Exhibition?, SPE-28394-MS, 1994
1311994
State of the art of artificial intelligence and predictive analytics in the E&P industry: a technology survey
C Bravo, L Saputelli, F Rivas, AG Pérez, M Nikolaou, G Zangl, ...
Spe Journal 19 (04), 547-563, 2014
1182014
Reservoir simulation and modeling based on artificial intelligence and data mining (AI&DM)
SD Mohaghegh
Journal of Natural Gas Science and Engineering 3 (6), 697-705, 2011
1182011
A parametric study on the benefits of drilling horizontal and multilateral wells in coalbed methane reservoirs
N Maricic, SD Mohaghegh, E Artun
SPE Reservoir Evaluation & Engineering 11 (06), 976-983, 2008
1122008
Full field reservoir modeling of shale assets using advanced data-driven analytics
S Esmaili, SD Mohaghegh
Geoscience Frontiers 7 (1), 11-20, 2016
1102016
Development of an intelligent systems approach for restimulation candidate selection
S Mohaghegh, S Reeves, D Hill
SPE Unconventional Resources Conference/Gas Technology Symposium, SPE-59767-MS, 2000
972000
Artificial intelligence (AI) assisted history matching
A Shahkarami, SD Mohaghegh, V Gholami, SA Haghighat
SPE Western Regional Meeting, SPE-169507-MS, 2014
962014
Neural network: What it can do for petroleum engineers
S Mohaghegh
Journal of Petroleum Technology 47 (01), 42-42, 1995
961995
Shale analytics
SD Mohaghegh, SD Mohaghegh
Shale Analytics: Data-Driven Analytics in Unconventional Resources, 29-81, 2017
942017
Application of machine learning and artificial intelligence in proxy modeling for fluid flow in porous media
S Amini, S Mohaghegh
Fluids 4 (3), 126, 2019
922019
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Artikelen 1–20