Sanjay Srinivasan
Affiliations: | Department of Petroleum and Geosystems Engineering | University of Texas at Austin, Austin, Texas, U.S.A. |
Area:
Petroleum Engineering, Geophysics, GeologyGoogle:
"Sanjay Srinivasan"Parents
Sign in to add mentor| Andre G. Journel | grad student | 1999 | Stanford (Physics Tree) | |
| (Integration of production data into reservoir models: A forward modeling perspective.) | ||||
Children
Sign in to add trainee| Xingru Wu | grad student | 2006 | UT Austin |
| Alvaro E. Barrera | grad student | 2007 | UT Austin |
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Publications
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| Kumar D, Srinivasan S. (2020) Indicator-based data assimilation with multiple-point statistics for updating an ensemble of models with non-Gaussian parameter distributions Advances in Water Resources. 141: 103611 |
| Singh M, Srinivasan S. (2020) Development of Proxy Model for Hydraulic Fracturing and Seismic Wave Propagation Processes Mathematical Geosciences. 52: 81-110 |
| Chandna A, Srinivasan S. (2019) Modeling natural fracture networks using improved geostatistical inferences Energy Procedia. 158: 6073-6078 |
| Kumar D, Srinivasan S. (2019) Ensemble-Based Assimilation of Nonlinearly Related Dynamic Data in Reservoir Models Exhibiting Non-Gaussian Characteristics Mathematical Geosciences. 51: 75-107 |
| Udegbe E, Morgan E, Srinivasan S. (2019) Big data analytics for seismic fracture identification using amplitude-based statistics Computational Geosciences. 23: 1277-1291 |
| Al-Mudhafar WJ, Rao DN, Srinivasan S. (2018) Robust Optimization of Cyclic CO2 flooding through the Gas-Assisted Gravity Drainage process under geological uncertainties Journal of Petroleum Science and Engineering. 166: 490-509 |
| Al-Mudhafar WJ, Rao DN, Srinivasan S. (2018) Reservoir sensitivity analysis for heterogeneity and anisotropy effects quantification through the cyclic CO2-Assisted Gravity Drainage EOR process – A case study from South Rumaila oil field Fuel. 221: 455-468 |
| Al-Mudhafar WJ, Rao DN, Srinivasan S. (2018) Geological and production uncertainty assessments of the cyclic $$\text{CO}_2$$ CO 2 -assisted gravity drainage EOR process: a case study from South Rumaila oil field Journal of Petroleum Exploration and Production Technology. 9: 1457-1474 |
| Min B, Kannan K, Srinivasan S. (2017) Quick Screening of Pareto-Optimal Operating Conditions for Expanding Solvent–Steam Assisted Gravity Drainage Using Hybrid Multi-Objective Optimization Approach Energies. 10: 966 |
| Al-Hinai O, Dong R, Srinivasan S, et al. (2017) A new equi-dimensional fracture model using polyhedral cells for microseismic data sets Journal of Petroleum Science and Engineering. 154: 49-59 |