Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Soham M. Sheth"'
Publikováno v:
Computational Geosciences. 26:1-11
Reservoir simulators model the highly nonlinear partial differential equations that represent flows in heterogeneous porous media. The system is made up of conservation equations for each thermodynamic species, flash equilibrium equations and some co
Publikováno v:
Day 1 Tue, October 26, 2021.
We present a novel reservoir simulator time-step selection approach which uses machine-learning (ML) techniques to analyze the mathematical and physical state of the system and predict time-step sizes which are large while still being efficient to so
Publikováno v:
Computational Geosciences. 24:743-759
During the solution of fully implicit reservoir simulation time steps, it is often observed that the computed Newton updates may be very sparse, considering computer precision. This sparsity can be as high as 95% and can vary largely from one iterati
Publikováno v:
IOR 2021.
Summary Reservoir simulators model the highly nonlinear partial differential equations that represent flows in heterogeneous porous media. The system is made up of conservation equations for each thermodynamic species, flash equilibrium equations and
Publikováno v:
ECMOR XVII.
Publikováno v:
International Journal of Applied and Computational Mathematics. 3:1035-1046
The mesh independence principle states that, if Newton’s method is used to solve an equation on Banach spaces as well as finite dimensional discretizations of that equation, then the behaviour of the discretized process is essentially the same as t
Autor:
Rami M. Younis, Soham M. Sheth
Publikováno v:
SPE Journal. 22:1542-1569
Summary Implicit-reservoir-simulation models offer improved robustness compared with semi-implicit or explicit alternatives. The implicit treatment gives rise to a large nonlinear algebraic system of equations that must be solved at each timestep. Ne
Autor:
Soham M. Sheth, Rami M. Younis
Publikováno v:
ICCS
Fully-Implicit (FI) Methods are often employed in the numerical simulation of large-scale subsurface flows in porous media. At each implicit time step, a Newton-like method is used to solve the FI discrete nonlinear algebraic system. The linear solut
Publikováno v:
Proceedings.
Summary During the solution of fully-implicit reservoir simulation time-steps, it is often observed that the computed Newton updates may be very sparse, considering computer precision. This sparsity can be as high as 95% and can vary largely from one
Autor:
Soham M. Sheth, Rami M. Younis
Publikováno v:
Day 1 Mon, February 20, 2017.
In the solution of implicit reservoir simulation timesteps, the Newton iteration updates are often very sparse; this sparsity can be as high as 95% and can vary dramatically from one iteration to the next. We develop, implement and demonstrate a math