Reservoir Simulation Resources
Research and findings from our reservoir simulation software team and colleagues.
Research and findings from our reservoir simulation software team and colleagues.
Full-gpu Simulation of Coupled Multi-reservoir Models: Implementation and Field Examples →
K. Mukundakrishnan, S. Ranjan, L. Patacchini, K. Esler, Stone Ridge Technology; A. Rosa, P. Panfili, F. Cinquini, A. Cominelli, Eni
P. Panfili, A. Cominelli, Eni and L. Patacchini, K.Esler, M. Khait, Stone Ridge Technology
M. de Los Angeles Hernandez Quintero, K. Al Remeithi, L. Alfredo Figuera, Mubadala Energy and L.Patacchini, M. Khait, Stone Ridge Technology
Graphics Processing Unit–Based, Industrial Grade Compositional Reservoir Simulator →
K. Esler, R. Gandham, L. Patacchini*, T. Garipov, and A. Samardzic, Stone Ridge Technology; and P. Panfili, F. Caresani, A. Pizzolato, and A. Cominelli, Eni E&P
An Optimization-Based Facility Network Solver For Well Allocation In Reservoir Simulation →
K. Wiegand, Y. Zaretskiy, K. Mukundakrishnan, L. Patacchini, Stone Ridge Technology
Improving GPU Throughput of Reservoir Simulations using NVIDIA MPS & MIG →
A Revolution in Performance using a GPU Based Simulator →
Jamal Siavoshi, Husky Energy; Karthik Mukundakrishnan, Stone Ridge Technology
Full-GPU Reservoir Simulation Delivers on its Promise for Giant Carbonate Fields →
A. Vidyasagar, L. Patacchini, P. Panfili, F. Caresani, A. Cominelli, R. Gandham and K. Mukundakrishnan EAGE Conference Proceedings, Third EAGE WIPIC Workshop: Reservoir Management in Carbonates, Nov 2019, Volume 2019, p.1 - 5
GPU Acceleration of Equation of State Calculations in Compositional Reservoir Simulation →
R. Gandham* (Stone Ridge Technology), K. Esler (Stone Ridge Technology), K. Mukundakrishnan (Stone Ridge Technology), Y.P. Zhang (Stone Ridge Technology), C. Fang (The University of Tulsa) & V. Natoli (Stone Ridge Technology)
Unconventional Reservoir Model Predictions Using Massively-Parallel Flow-Simulation →
M. Shahvali, J. R. Gilman, O. Angola, M. Uland, and H. Meng, iReservoir.com Inc.; K. Esler, K. Mukundakrishnan, M. Ghasemi, and V. Natoli, Stone Ridge Technology
A High Performance Reservoir Simulator on GPU →
Reza Ghasemi, Rice HPC in Oil and Gas Meeting, March 2016
M. Shahvali, J.R. Gilman, O. Angola, M. Uland, H. Meng, iReservoir.com Inc. and K. Esler, K. Mukundakrishnan, M. Ghasemi, V. Natoli, Stone Ridge Technology, SPE Low-Perm Symposium May 2016
Recent Trends in High Performance Computing: Implications for Reservoir Simulation →
Unconventional Reservoir Model Predictions Using Massively-Parallel GPU Flow-Simulation →
J. R. Gilman, M. Uland*, O. Angola, R. Michelena, H. Meng, iReservoir.com Inc. and K. Esler, K. Mukundakrishnan, V. Natoli, Stone Ridge Technology
Accelerating Tight Reservoir Simulation Workflows With GPUs →
K. Mukundakrishnan, K. Esler, D. Dembeck, V. Natoli, J. Shumway, Y. Zhang, Stone Ridge Technology, and J. R. Gilman, H. Meng, iReservoir.com, Inc.
Realizing the Potential of GPUs for Reservoir Simulation →
K. Esler, K. Mukundakrishnan, V. Natoli, J. Shumway, Y. Zhang and J. Gilman, ECMOR XIV – 14th European Conference on the Mathematics of Oil Recovery, 8 September 2014
A GPU Accelerated Aggregation Algebraic Multigrid Method →
R. Gandham, K. Esler and Y. Zhang, Computers and Mathematics with Applications 68(2014) 1151-1160
GAMPACK (GPU Accelerated Algebraic Multigrid Package) →
K. Esler, V. Natoli and A. Samardzic, ECMOR XIII – 13th European Conference on the Mathematics of Oil Recovery, 10 September 2012
A Novel GPGPU Approach to Kirchhoff Time Migration →
W. Brouwer, V. Natoli and M. Lamont, 2011 SEG Annual Meeting, September 18 – 23, 2011 , San Antonio, Texas
Survey of Two-Point Seismic Travel Time Methods →
V. Natoli and K. Esler, SRT White paper August 2011
Accelerating Reservoir Simulation with GPUs →
K. Esler, S. Atan, B. Ramirez and V. Natoli, 73rd EAGE Conference and Exhibition, 23 May 2011
Recent Trends in High Performance Computing: Implications for Reservoir Simulation →
ECHELON: High-Performance Subsurface Flow Simulation →
ECHELON 2.0 Software Overview And Case Studies Webinar →