Reservoir Simulation Publications

Presentations| Feb 28, 2024

Trends in High Performance Computing, Reshaping Modern Reservoir Simulation

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Presentations| Oct 05, 2023

Graphics processing units (GPUs) driving synergy between industrial reservoir simulation and modeling geologic carbon sequestration and storage

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Press Releases| Sep 04, 2023

Azule Energy now running ECHELON Reservoir Simulator from Stone Ridge Technology

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Videos & Webinars| Jun 09, 2023

Hidden Gems in GPU Computing

Authors: Vincent Natoli

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Videos & Webinars| Feb 12, 2023

ECHELON: High-Performance Subsurface Flow Simulation

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Technical Papers| Jan 29, 2023

Full-gpu Simulation of Coupled Multi-reservoir Models: Implementation and Field Examples

Authors: K. Mukundakrishnan, S. Ranjan, L. Patacchini, K. Esler, Stone Ridge Technology; A. Rosa, P. Panfili, F. Cinquini, A. Cominelli, Eni

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Technical Papers| Jan 29, 2023

Accelerating Carbon Capture and Sequestration Subsurface Flow Simulation with GPU-Based High Performance Computing

Authors: P. Panfili, A. Cominelli, Eni and L. Patacchini, K.Esler, M. Khait, Stone Ridge Technology

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Technical Papers| Jan 29, 2023

GPU-Based High-End Desktop Computing, A Cost-Effective Solution to Improve Reservoir Simulation Performance

Authors: M. de Los Angeles Hernandez Quintero, K. Al Remeithi, L. Alfredo Figuera, Mubadala Energy and L.Patacchini, M. Khait, Stone Ridge Technology

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Technical Papers| Nov 01, 2021

Graphics Processing Unit–Based, Industrial Grade Compositional Reservoir Simulator

Authors: 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

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Technical Papers| Nov 01, 2021

An Optimization-Based Facility Network Solver For Well Allocation In Reservoir Simulation

Authors: K. Wiegand, Y. Zaretskiy, K. Mukundakrishnan, L. Patacchini, Stone Ridge Technology

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Presentations| Sep 29, 2021

Improving GPU Throughput of Reservoir Simulations using NVIDIA MPS & MIG

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Videos & Webinars| Jun 02, 2021

ECHELON 2.0 Software Overview And Case Studies Webinar

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Technical Papers| Mar 03, 2021

ECHELON: SPE10 Case Study

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Technical Papers| Apr 22, 2020

A Revolution in Performance using a GPU Based Simulator

Authors: Jamal Siavoshi, Husky Energy; Karthik Mukundakrishnan, Stone Ridge Technology

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Technical Papers| Nov 01, 2019

Full-GPU Reservoir Simulation Delivers on its Promise for Giant Carbonate Fields

Authors: 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

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Technical Papers| Sep 01, 2016

GPU Acceleration of Equation of State Calculations in Compositional Reservoir Simulation

Authors: 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)

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Technical Papers| May 05, 2016

Unconventional Reservoir Model Predictions Using Massively-Parallel Flow-Simulation

Authors: 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

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Technical Papers| Mar 01, 2016

A High Performance Reservoir Simulator on GPU

Authors: Reza Ghasemi, Rice HPC in Oil and Gas Meeting, March 2016

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Technical Papers| Jan 05, 2016

Unconventional Reservoir Model Predictions Using Massively-Parallel Flow-Simulation: Bakken/Three Forks Reservoir Development Cases and SRV Testing

Authors: 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

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Technical Papers| Sep 16, 2015

Recent Trends in High Performance Computing: Implications for Reservoir Simulation

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Technical Papers| Jul 20, 2015

Unconventional Reservoir Model Predictions Using Massively-Parallel GPU Flow-Simulation

Authors: J. R. Gilman, M. Uland*, O. Angola, R. Michelena, H. Meng, iReservoir.com Inc. and K. Esler, K. Mukundakrishnan, V. Natoli, Stone Ridge Technology

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Technical Papers| Feb 15, 2015

Accelerating Tight Reservoir Simulation Workflows With GPUs

Authors: K. Mukundakrishnan, K. Esler, D. Dembeck, V. Natoli, J. Shumway, Y. Zhang, Stone Ridge Technology, and J. R. Gilman, H. Meng, iReservoir.com, Inc.

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Technical Papers| Sep 01, 2014

Realizing the Potential of GPUs for Reservoir Simulation

Authors: 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

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Presentations| Feb 01, 2014

A GPU Accelerated Aggregation Algebraic Multigrid Method

Authors: R. Gandham, K. Esler and Y. Zhang, Computers and Mathematics with Applications 68(2014) 1151-1160

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Technical Papers| Sep 10, 2012

GAMPACK (GPU Accelerated Algebraic Multigrid Package)

Authors: K. Esler, V. Natoli and A. Samardzic, ECMOR XIII – 13th European Conference on the Mathematics of Oil Recovery, 10 September 2012

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Technical Papers| Sep 18, 2011

A Novel GPGPU Approach to Kirchhoff Time Migration

Authors: W. Brouwer, V. Natoli and M. Lamont, 2011 SEG Annual Meeting, September 18 – 23, 2011 , San Antonio, Texas

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Technical Papers| Aug 01, 2011

Survey of Two-Point Seismic Travel Time Methods

Authors: V. Natoli and K. Esler, SRT White paper August 2011

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Technical Papers| May 23, 2011

Accelerating Reservoir Simulation with GPUs

Authors: K. Esler, S. Atan, B. Ramirez and V. Natoli, 73rd EAGE Conference and Exhibition, 23 May 2011

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