Zobrazeno 1 - 10
of 65
pro vyhledávání: '"K. Mukundakrishnan"'
Publikováno v:
Day 1 Tue, October 26, 2021.
When coupling reservoir simulators to surface network solvers, an often used strategy is to perform a rule or priority-driven allocation based on individual well and group constraints, augmented by back-pressure constraints computed periodically by t
Autor:
L. Patacchini, R. Gandham, P. Panfili, F. Caresani, K. Mukundakrishnan, A. Vidyasagar, Alberto Cominelli
Publikováno v:
Third EAGE WIPIC Workshop: Reservoir Management in Carbonates.
Summary Simulation of carbonate fields presents challenges due to the underlying multi-scale heterogeneities and consequent stiff nature of the flow equations. This paper highlights the principles of a full-GPU (Graphics Processing Unit) reservoir si
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
Autor:
K. Mukundakrishnan, P.S. Ayyaswamy
A review of some of the recent mathematical models used for solving transport problems involving porous biomaterial scaffolds is presented. Both direct numerical simulation (DNS) methods and macroscopic averaged equations for porous media have been r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dc95f862f9eb7644990f9d979ce8560
https://doi.org/10.1016/b978-0-08-100691-7.00234-2
https://doi.org/10.1016/b978-0-08-100691-7.00234-2
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
Autor:
K. Esler, J.R. Gilman, H. Meng, Mohammadreza Ghasemi, M.J. Uland, V. Natoli, K. Mukundakrishnan, Mohammad Shahvali, O. Angola
Publikováno v:
All Days.
This paper discusses the application of massively-parallel GPU flow-simulation to rapidly compare alternate reservoir development cases in the Bakken/Three Forks using vertically offset stacks of horizontal wells. Compared with conventional CPU flow
Publikováno v:
Journal of Fluid Mechanics. 599:169-204
We have numerically investigated the interaction dynamics between two rigid spherical particles moving in a fluid-filled cylinder that is rotating at a constant speed. The cylinder rotation is about a horizontal axis. The particle densities are less
Publikováno v:
Acta Astronautica. 60:397-405
This article discusses the requirements to successfully simulate certain aspects of microgravity employing the NASA designed HARV in the laboratory. Presence of low fluid shear, a clear understanding of the role of the spin of the microcarrier/cell a
Autor:
H. Meng, J.R. Gilman, V. Natoli, John Shumway, B. Suchoski, K. Esler, Yongpeng Zhang, K. Mukundakrishnan, D. Dembeck, O. Angola
Publikováno v:
Second EAGE Workshop on High Performance Computing for Upstream.
Demands for higher fidelity and predictive capability from reservoir simulation have resulted in the development of reservoir simulation models in the hundreds of millions of cells. When combined with the need to quickly assess many realizations of s