Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sunil G. Thomas"'
Publikováno v:
Journal of Applied Mathematics, Vol 2011 (2011)
The spatial distribution of parameters that characterize the subsurface is never known to any reasonable level of accuracy required to solve the governing PDEs of multiphase flow or species transport through porous media. This paper presents a numeri
Externí odkaz:
https://doaj.org/article/8275c3af6d374de69c13d1c812521597
Autor:
Mary F. Wheeler, Sunil G. Thomas
Publikováno v:
Computational Geosciences. 15:605-625
The enhanced velocity mixed finite element method, due to Wheeler et al. (Comput Geosci 6(3–4):315–332, 2002), is analyzed and extended to the problem of modeling slightly compressible flow coupled to the transport of chemical species through por
Autor:
Bernd Flemisch, Adil Sbai, Ali Naderi Beni, Sunil G. Thomas, Anozie Ebigbo, Min Jin, Jan Martin Nordbotten, Pascal Audigane, Laurent Trenty, Sarah E. Gasda, Helge K. Dahle, Holger Class, Michael A. Celia, Rajesh J. Pawar, Lingli Wei, Rainer Helmig, Melanie Darcis, Yaqing Fan, Diane Labregere, Stefanie Krug, Jonathan Ennis-King
Publikováno v:
Computational Geosciences. 13:409-434
This paper summarises the results of a benchmark study that compares a number of mathematical and numerical models applied to specific problems in the context of carbon dioxide (CO2) storage in geologic formations. The processes modelled comprise adv
Publikováno v:
Journal of the Korean Mathematical Society. 44:1103-1119
We consider multiscale mortar mixed finite element discretizations for slightly compressible Darcy flows in porous media. This paper is an extension of the formulation introduced by Arbogast et al. for the incompressible problem [2]. In this method,
Publikováno v:
Computational Geosciences. 12:15-27
Pore-scale models are becoming increasingly useful as predictive tools for modeling flow and transport in porous media. These models can accurately represent the 3D pore-structure of real media. Currently first-principles modeling methods are being e
Publikováno v:
Integrated Computer-Aided Engineering. 14:213-223
This work presents a novel neural stochastic optimization framework for reservoir parameter estimation that combines two independent sources of spatial and temporal data: oil production data and dynamic sensor data of flow pressures and concentration
Publikováno v:
Proceedings of the International Congress of Mathematicians 2010 (ICM 2010).
A portion of this research was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences. The Center for Frontiers of Subsurface Energy Security (CFSES) is a DOE Energy Frontier Research Center, under Contract No.
Publikováno v:
All Days.
This paper describes an efficient numerical scheme for non-isothermal compositional flow coupled to chemistry. An iterative IMPEC method is applied to solve the flow problem using a volume balance convergence criterion. A backward Euler mixed FEM wit
Publikováno v:
Volume 12: Mechanics of Solids, Structures and Fluids.
This paper describes an efficient and parallel numerical scheme for multiphase compositional flow. The underlying theory is first presented followed by a brief description of the equation of state (EOS) and the two-phase flash implementation. An iter