Sanjay Srinivasan

Email: szs27@psu.edu

Phone: (814) 863-4466

Office Address:
C211 Coal Utilization Laboratory (CUL)

Title: Director

Website: http://www.energy.psu.edu/psiggma/personnel/srinivasan.html

https://sites.psu.edu/psiggmacvs/files/2017/01/Sanjay_CV-1jcruuu.pdf

Research Areas:
Carbon Dioxide Capture, Conversion & Sequestration
Coal Science & Technology
Computer Science
Energy Economics
Petroleum & Natural Gas Engineering
Unconventional Oil & Gas
PSIGGMA

Education Background:
• Ph.D., Petroleum Engineering, Stanford University
• M.S., Petroleum Engineering, University of Southern California
• B. Tech degree, Petroleum Engineering, The Indian School of Mines

About:

Srinivasan is a professor of petroleum and natural gas engineering and the holder of the John and Willie Leone Family Chair in Energy and Mineral Engineering. He began at Penn State in 2015. Sanjay received his B.Tech. in petroleum engineering from the Indian School of Mines, an M.S. in petroleum engineering from the University of Southern California, and a Ph.D. in petroleum engineering from Stanford University. Prior to coming to Penn State, he was a professor of petroleum and geosystems engineering at the University of Texas (UT) at Austin where he was the holder of the Frank Jessen Endowed Fellowship in petroleum engineering. He has also served on the faculty of the University of Calgary. Srinivasan’s primary research focuses on petroleum reservoir characterization and improved management of reservoir recovery processes. Some of the algorithms and methods that he has pioneered have been applied for early appraisal of ultra-deepwater plays in the Gulf of Mexico and for characterizing natural fracture networks in conventional as well as unconventional reservoirs. He served on the technical advisory board for the Alberta Ingenuity Center for In Situ Energy at the University of Calgary. He was a task leader in the Center for Frontiers of Subsurface Energy Security at UT Austin. He served as the associate editor of the Journal of Mathematical Geosciences and was the organizer of the International Association of Mathematical Geosciences annual conference in 2019.

Research Interests:

• Petroleum reservoir characterization
• Improved management of reservoir recovery processes
• Integration of seismic data in reservoir models
• Geostatistical methods and algorithms

Memberships & Committees:

• Organizer, Frontiers in Subsurface Energy Security, Center for Petroleum and Geosystems Engineering Symposium, University of Texas at Austin, March 2015.
• Organizer, CPGE Research Showcase, Center for Petroleum and Geosystems Engineering Symposium, University of Texas at Austin, November 2014.
• Member, Organizing Committee – 10th International Geostatistics Congress, 2016, Valencia, Spain.
• Member, International Scientific Committee – 16th IAMG Annual Meeting, New Delhi, India, October 2014.
• Member, Consultative Committee – 9th International Geostatistics Congress, Oslo, 2012, Norway.
• Member, Organizing Committee – SPE Forum: Novel Techniques for Reservoir Modeling, Santa Fe, New Mexico, November, 2012.
• Vice-Chair, Organizing Committee – 12th IAMG Annual Meeting, 2009, Stanford University.
• Member, Distinguished Lecturer Selection Committee, International Association of Mathematical Geology (IAMG), Sept. 2009 – Current.
• Associate Editor, Mathematical Geosciences.
• Member of the Editorial Review Board of Society of Petroleum Engineering Reservoir Evaluations Journal (SPERE).

Honors & Awards:

• John and Willie Leone Family Chair in Petroleum and Natural Gas Engineering, Energy and Mineral Engineering Department, PennState University.
• SPE Faculty Pipeline Award, September 2012.
• Cox Visiting Faculty Fellowship – Stanford University, 2010.
• SPE Southwest Region Reservoir Description and Dynamics Award, April, 2009.
• Frank Jessen fellowship awarded by the College of Engineering, University of Texas at Austin, September 2007 – current.
• SPE Award for outstanding technical editor, Society of Petroleum Engineering Reservoir Evaluation journal, 2006.
• UT Austin Department of Petroleum and Geosystems Engineering Teaching Excellence award for 2005-2006.
• Oryx Energy Company Centennial Fellowship No. 1 in Petroleum Engineering awarded by the College of Engineering, University of Texas at Austin in September 2005.
• Henry Ramey fellowship for outstanding academic achievement and contributions to the school of Earth Sciences at Stanford University, 1999.
• Frank Miller fellowship for Best Graduate Student in the Petroleum Engineering Department at Stanford University, 1999.
• Centennial Teaching Assistant award (Stanford University), 1999.

Publications:

Elsevier: https://pennstate.pure.elsevier.com/en/persons/sanjay-srinivasan/publications/

Sanjay Srinivasan's Publications
Record 1 - 10 of 47 View All
Kumar, D. and S. Srinivasan, (2020). Indicator-based data assimilation with multiple-point statistics for updating an ensemble of models with non-Gaussian parameter distributions, Advances in Water Resources, v. 141, [103611],. https://doi.org/10.1016/j.advwatres.2020.103611.
Singh, M. and S. Srinivasan, (2020). Development of Proxy Model for Hydraulic Fracturing and Seismic Wave Propagation Processes, Mathematical Geosciences, v. 52 (1), pp. 81-110, https://doi.org/10.1007/s11004-019-09830-8.
Al-Mudhafar, W. J., D. N. Rao, and S. Srinivasan, (2019). Geological and production uncertainty assessments of the cyclic CO 2 -assisted gravity drainage EOR process: a case study from South Rumaila oil field, Journal of Petroleum Exploration and Production Technology, v. 9(2), pp. 1457-1474, https://doi.org/10.1007/s13202-018-0542-4.
Chandna, A. and S. Srinivasan, (2019). Mapping natural fracture networks using stochastic and machine learning approaches, 20th Annual Conference of the International Association for Mathematical Geosciences, pp. 250-254.
Chandna, A. and S. Srinivasan, (2019). Modeling natural fracture networks using improved geostatistical inferences, Energy Procedia, v. 158, pp. 6073-6078, https://doi.org/10.1016/j.egypro.2019.01.508.
Kumar, D. and S. Srinivasan, (2019 January). Ensemble-Based Assimilation of Nonlinearly Related Dynamic Data in Reservoir Models Exhibiting Non- Gaussian Characteristics, Mathematical Geosciences, v. 51 (1), pp 75-107.
Kumar, D. and S. Srinivasan, (2019). Indicator-based data assimilation with localization for updating models using limited ensemble size, 20th Annual Conference of the International Association for Mathematical Geosciences, pp. 278-282.
Udegbe, E., E. Morgan, and S. Srinivasan, (2019). Big data analytics for seismic fracture identification using amplitude-based statistics, Computational Geosciences, v. 23 (6), pp. 1277-1291, https://doi.org/10.1007/s10596-019-09890-z.
Udegbe, E., E. Morgan, and S. Srinivasan, (2019). Big-Data Analytics for Production-Data Classification Using Feature Detection: Application to Restimulation - Candidate Selection, SPE Reservoir Evaluation & Engineering, v. 22 (02), pp. 364–385, https://doi.org/10.2118/187328-PA.
Wheeler, M. F., S. Srinivasan, S. Lee, and M. Singh, (2019). Unconventional reservoir management modeling coupling diffusive zone/phase field fracture modeling and fracture probability maps, Society of Petroleum Engineers - SPE Reservoir Simulation Conference 2019 Proceedings, RSC 2019.
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