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A separate-phase drag model and a surrogate approximation for simulation of the steam-assisted-gravity-drainage process

A separate-phase drag model and a surrogate approximation for simulation of the steam-assisted-gravity-drainage process
A separate-phase drag model and a surrogate approximation for simulation of the steam-assisted-gravity-drainage process

General, ensemble phase-averaged equations for multiphase flows were specialized for the simulation of the steam-assisted-gravitydrainage (SAGD) process. In the average momentum equation, fluid/solid and fluid/fluid viscous interactions are represented by separate force terms. This equation has a form similar to that of Darcy's law for multiphase flow but augmented by the fluid/fluid viscous forces. Models for these fluid/fluid interactions are suggested and implemented into the numerical code CartaBlanca. Numerical results indicate that the model captures the main features of the multiphase flow in the SAGD process, but the detailed features, such as plumes, are missed. We find that viscous coupling among the fluid phases is important. Advection time scales for the different fluids differ by several orders of magnitude because of vast viscosity differences. Numerically resolving all these time scales is time consuming. To address this problem, we introduce a steam-surrogate approximation to increase the steam-advection time scale, while keeping the mass and energy fluxes well-approximated. This approximation leads to approximately a 40-fold speedup in execution speed of the numerical calculations at the cost of a few percentage errors in the relevant quantities.

1086-055X
364-379
Padrino, Juan C.
961f9d2a-ee9d-4619-a267-2bf098612978
Ma, Xia
ace0d968-79ed-4ea5-9f24-defdb5b23898
Vanderheyden, W. Brian
081d3bf7-8fb5-4665-adae-ab4fbf855bb3
Zhang, Duan Z.
0cf4d680-1c40-4a4c-994c-9e7e17a9e6f8
Padrino, Juan C.
961f9d2a-ee9d-4619-a267-2bf098612978
Ma, Xia
ace0d968-79ed-4ea5-9f24-defdb5b23898
Vanderheyden, W. Brian
081d3bf7-8fb5-4665-adae-ab4fbf855bb3
Zhang, Duan Z.
0cf4d680-1c40-4a4c-994c-9e7e17a9e6f8

Padrino, Juan C., Ma, Xia, Vanderheyden, W. Brian and Zhang, Duan Z. (2016) A separate-phase drag model and a surrogate approximation for simulation of the steam-assisted-gravity-drainage process. SPE Journal, 21 (2), 364-379, [SPE-178432-PA]. (doi:10.2118/178432-PA).

Record type: Article

Abstract

General, ensemble phase-averaged equations for multiphase flows were specialized for the simulation of the steam-assisted-gravitydrainage (SAGD) process. In the average momentum equation, fluid/solid and fluid/fluid viscous interactions are represented by separate force terms. This equation has a form similar to that of Darcy's law for multiphase flow but augmented by the fluid/fluid viscous forces. Models for these fluid/fluid interactions are suggested and implemented into the numerical code CartaBlanca. Numerical results indicate that the model captures the main features of the multiphase flow in the SAGD process, but the detailed features, such as plumes, are missed. We find that viscous coupling among the fluid phases is important. Advection time scales for the different fluids differ by several orders of magnitude because of vast viscosity differences. Numerically resolving all these time scales is time consuming. To address this problem, we introduce a steam-surrogate approximation to increase the steam-advection time scale, while keeping the mass and energy fluxes well-approximated. This approximation leads to approximately a 40-fold speedup in execution speed of the numerical calculations at the cost of a few percentage errors in the relevant quantities.

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More information

Accepted/In Press date: 19 August 2015
Published date: 14 April 2016

Identifiers

Local EPrints ID: 510683
URI: http://eprints.soton.ac.uk/id/eprint/510683
ISSN: 1086-055X
PURE UUID: da1cbee7-da7e-432b-8c24-4338c857c073
ORCID for Juan C. Padrino: ORCID iD orcid.org/0000-0002-6373-3469

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Date deposited: 16 Apr 2026 16:39
Last modified: 17 Apr 2026 02:11

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Contributors

Author: Juan C. Padrino ORCID iD
Author: Xia Ma
Author: W. Brian Vanderheyden
Author: Duan Z. Zhang

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