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Reza Rahimi, Ph.D.
Reza Rahimi, Ph.D.
Principal Deep Learning and AI Engineer
Verified email at mst.edu - Homepage
Title
Cited by
Cited by
Year
Comparison of rock failure criteria in predicting borehole shear failure
R Rahimi, R Nygaard
International Journal of Rock Mechanics and Mining Sciences 79, Pages 29–40, 2015
852015
The effect of using different rock failure criteria in wellbore stability analysis
R Rahimi
Missouri University of Science and Technology, 2014
422014
Effect of rock strength variation on the estimated borehole breakout using shear failure criteria
R Rahimi, R Nygaard
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 1-14, 2018
252018
What Difference Does Selection of Failure Criteria Make in Wellbore Stability Analysis?
R Rahimi, R Nygaard
48th U.S. Rock Mechanics/Geomechanics Symposium, 2014
202014
Analysis of analytical fracture models for wellbore strengthening applications: An experimental approach
R Rahimi, M Alsaba, R Nygaard
Journal of Natural Gas Science and Engineering 36, 865-874, 2016
132016
Effect of rock strength variation on the estimated borehole breakout using shear failure criteria. Geomech Geophys Geo-Energ Geo-Resour 4: 369–382
R Rahimi, R Nygaard
72018
Analysis and mitigation of wellbore breakout and fracturing
R Rahimi
Missouri University of Science and Technology, 2016
22016
Can Particle Size Distribution of Lost Circulation Materials Affect the Fracture Gradient?
R Rahimi, M Alsaba, R Nygaard
2016 AADE Fluids Technical Conference and Exhibition, 2016
12016
Experimental Evaluation on Using Coal Combustion Residuals for Controlling Fluid Invasion in Shales
R Rahimi, R Nygaard, G Hareland, S Akhtarmanesh
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2018-134, 2018
2018
Implementing Smart Solution for Controlling Water Cut in South Pars Gas Field from Environmental Point of View
R Rahimi, A Tahami
SPE Deep Gas Conference and Exhibition, 2010
2010
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