Foam;
Implicit texture;
Population balance;
Modeling;
Gas;
Enhanced oil and gas recovery;
POROUS-MEDIA;
STEADY-STATE;
COMPUTED-TOMOGRAPHY;
OIL-RECOVERY;
FLOW;
SIMULATION;
GAS;
PERMEABILITY;
GENERATION;
TRANSIENT;
D O I:
10.1016/j.jngse.2016.03.018
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
Simulation models for foam enhanced oil recovery are of two types: those that treat foam texture or bubble size explicitly (population-balance models) and those that treat the effects of foam texture implicitly through a gas mobility-reduction factor. The implicit-texture models all implicitly assume local equilibrium (LE) between the processes of foam creation and destruction. In published studies most population-balance models predict rapid attainment of local-equilibrium as well, and some have been recast in LE versions. In this paper we compare population-balance and implicit-texture (IT) models in two ways. First, we show the equivalence of the two approaches by deriving explicitly the foam texture and foam coalescence-rate function implicit in the IT models, and then show its similarity to that in population balance models. Second, we compare the models based on their ability to represent a set of N-2 and CO2 steady-state foam experiments and discuss the corresponding parameters of the different methods. Each of the IT models examined was equivalent to the LE formulation of a population-balance model with a lamella-destruction function that increases abruptly in the vicinity of the limiting capillary pressure as in current population-balance models. The relation between steady-state foam texture and water saturation or capillary pressure implicit in the IT models is essentially the same as that in the population-balance models. The IT and population-balance models match the experimental data presented equally well. The IT models examined allow for flexibility in making the abruptness of the coalescence rate near Pc an adjustable parameter. Some allow for coarse foam to survive at high capillary pressure, and allow for a range of power-law non-Newtonian behavior in the low-quality regime. Thus the IT models that incorporate an abrupt change in foam properties near a given water saturation can be recast as LE versions of corresponding population-balance models with a lamella-destruction function similar to those in current PB models. The trends in dimensionless foam texture implicit in the IT models is similar to that in the PB models. In other words, both types of model, at least in the LE approximation, equally honor the physics of foam behavior in porous media. (C) 2016 The Authors. Published by Elsevier B.V.
机构:
Univ Fed Juiz de Fora, Computat Modeling Program, Juiz De Fora, MG, BrazilUniv Fed Juiz de Fora, Computat Modeling Program, Juiz De Fora, MG, Brazil
de Miranda, G. B.
dos Santos, R. W.
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机构:
Univ Fed Juiz de Fora, Computat Modeling Program, Juiz De Fora, MG, Brazil
Univ Fed Juiz de Fora, Comp Sci Dept, Juiz De Fora, MG, BrazilUniv Fed Juiz de Fora, Computat Modeling Program, Juiz De Fora, MG, Brazil
dos Santos, R. W.
Chapiro, G.
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Univ Fed Juiz de Fora, Computat Modeling Program, Juiz De Fora, MG, Brazil
Univ Fed Juiz de Fora, Math Dept, Juiz De Fora, MG, BrazilUniv Fed Juiz de Fora, Computat Modeling Program, Juiz De Fora, MG, Brazil
Chapiro, G.
Rocha, B. M.
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Univ Fed Juiz de Fora, Computat Modeling Program, Juiz De Fora, MG, Brazil
Univ Fed Juiz de Fora, Comp Sci Dept, Juiz De Fora, MG, BrazilUniv Fed Juiz de Fora, Computat Modeling Program, Juiz De Fora, MG, Brazil
机构:
Univ Fed Juiz de Fora, Programa Modelagem Computac, Juiz De Fora, Brazil
Univ Fed Juiz de Fora, Lab Matemat Aplicada LAMAP, Juiz De Fora, BrazilUniv Fed Juiz de Fora, Programa Modelagem Computac, Juiz De Fora, Brazil
Zavala, Rosmery Q.
Lozano, Luis F.
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Univ Fed Juiz de Fora, Lab Matemat Aplicada LAMAP, Juiz De Fora, BrazilUniv Fed Juiz de Fora, Programa Modelagem Computac, Juiz De Fora, Brazil
Lozano, Luis F.
Zitha, Pacelli L. J.
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机构:
Delft Univ Technol, Delft, NetherlandsUniv Fed Juiz de Fora, Programa Modelagem Computac, Juiz De Fora, Brazil
Zitha, Pacelli L. J.
Chapiro, Grigori
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Univ Fed Juiz de Fora, Lab Matemat Aplicada LAMAP, Juiz De Fora, BrazilUniv Fed Juiz de Fora, Programa Modelagem Computac, Juiz De Fora, Brazil