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of 95
pro vyhledávání: '"K. Esler"'
Autor:
T. Garipov, K. Esler, P. Panfili, R. Gandham, A. Pizzolato, A. Samardzic, F. Caresani, L. Patacchini, Alberto Cominelli
Publikováno v:
SPE Journal. 27:597-612
SummaryRecently, graphics processing units (GPUs) have been demonstrated to provide a significant performance benefit for black-oil reservoir simulation, as well as flash calculations that serve an important role in compositional simulation. A compre
Akademický článek
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Publikováno v:
ECMOR 2022.
Autor:
R. Gandham, T. Garipov, Alberto Cominelli, P. Panfili, L. Patacchini, F. Caresani, A. Pizzolato, K. Esler
Publikováno v:
Day 1 Tue, October 26, 2021.
Recently, graphics processing units (GPUs) have been demonstrated to provide a significant performance benefit for black-oil reservoir simulation, as well as flash calculations that serve an important role in compositional simulation. A comprehensive
Publikováno v:
Fifth EAGE Workshop on High Performance Computing for Upstream.
Summary In this paper we demonstrated that the overall simulation throughput of full-GPU reservoir simulators can be further improved significantly without any modifications to the software, using NVIDIA’s Multi-Processing-Service and Multi-Instanc
Publikováno v:
Fourth EAGE Workshop on High Performance Computing for Upstream 2019.
Summary The implementation of computationally demanding algorithms on GPU architectures is becoming inevitable nowadays. In the geoscience domain, reverse time migration based on the wave equation provides the most evident example. Problems related t
Publikováno v:
Day 3 Wed, November 15, 2017.
In recent years, there has been significant effort within reservoir engineering to move towards reservoir simulation studies that rigorously accounts for uncertainties in the model parameters when developing production forecasts. Probabilistic histor
Publikováno v:
Proceedings.
It is an undisputed truth that demand for computational performance for simulating very large models in upstream applications is ever increasing. This demand can be met conceptually in one of two ways. “Scale-out”, implies exploiting additional c
Autor:
K. Esler, Huabing Wang, K. Mukundakrishnan, J.R. Gilman, B. Lee, N. Goodwin, Mohammadreza Ghasemi
Publikováno v:
Day 1 Mon, February 20, 2017.
Objectives/ScopeHistory matching large, complex fields has remained time consuming, and valid probabilistic uncertainty quantification has been a distant goal. Significant advances have been made recently in the development of improved sampling algor
Publikováno v:
Proceedings.
Equation-of-state (EOS) based compositional simulations accurately capture the dynamics of reservoirs with strong compositional effects. One of the major computational bottlenecks in such simulations is the need to enforce the phase equilibrium const