Non-uniqueness, Numerical Artifacts, and Parameter Sensitivity in Simulating Steady-State and Transient Foam Flow Through Porous Media

Ma, Kun; Farajzadeh, R.; Lopez-Salinas, Jose Luis; Miller, Clarence A.; Biswal, Sibani Lisa; Hirasaki, George J.

doi:10.1007/s11242-014-0276-9

Cited by 59 publications

(61 citation statements)

References 40 publications

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“…C.4). Foam-model parameters are sensitive to relative-permeability parameters, and in particular n w can greatly impact the parameters (Ma et al, 2014). Below we test sensitivity of our results to n w .…”

Section: Dependence Of Foam-model Parameters On Permeabilitymentioning

confidence: 92%

“…We focus our study on one steady-state implicit-texture foam model, that in STARS (Computer Modeling Group, 2012;Farajzadeh et al, 2012;Ma et al, 2013Ma et al, , 2014. In that model gas mobility is scaled by a function, FM, when foam is present:…”

Section: Implicit-texture Foam Modelmentioning

confidence: 99%

“…We have modified the procedure explained by Ma et al (2013Ma et al ( , 2014 by adding shear-thinning function because in their approach smaller values can be assigned to epdry, although as shown later choosing very large values of epdry (as described by Cheng et al, 2000;Boeije and Rossen, 2013), does not alter the general conclusions of this paper. The procedure used here, described in Appendix B, seeks a least-squares fit to all the app f  data subject to weighting and constraints supplied by the user.…”

Section: Implicit-texture Foam Modelmentioning

confidence: 99%

“…the effects of permeability, surfactant concentration, oil saturation and composition, wettability, etc.). Several models have been proposed for modeling of foam in porous media (Farajzadeh et al, 2012;Ma et al, 2014;Lotfollahi et al, 2015), which can be divided into two main categories. Population-balance (PB) models (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…PB models can be restructured to assume local equilibrium (LE) between the dynamics of lamella creation and destruction; all current IT models assume LE. These models contain adjustable parameters that are estimated by fitting the model to experiments (Cheng et al, 2000;Boeije and Rossen, 2013;Rossen and Boeije, 2013;Ma et al, 2013Ma et al, , 2014Lotfollahi et al, 2015). Several different foam models can fit the steady-state mobility of strong foam in a given porous medium to a satisfactory degree (Lotfollahi et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Effect of Permeability on Foam-model Parameters and the Limiting Capillary Pressure

Farajzadeh¹,

Lotfollahi²,

Eftekhari³

et al. 2015

Proceedings

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SUMMARYAccurate modelling of foam rheology on the field scale requires detailed understanding of the correlation between the fundamental properties of foam and the scalable parameters of the porous medium. It has been experimentally observed that foam experiences an abrupt coalescence when the capillary pressure in the porous medium approaches a certain value referred to as the "limiting capillary pressure", Pc*. Current foam models that treat foam texture implicitly mimic this fundamental behaviour with a so-called dry-out function, which contains adjustable parameters like fmdry and epdry (in the STARS foam simulator). Parameter fmdry (called Sw* in other models) represents the water saturation corresponding to the limiting capillary pressure Pc* and epdry determines the abruptness of foam coalescence as a function of water saturation. In this paper, using experimental data, we examine the permeability-dependence of these parameters. We find that the value of fmdry decreases with increasing permeability. We also find that, for the data examined in this paper, the transition from high-quality regime to low-quality regime is more abrupt in lower-permeability rocks. This implies that in high-permeability rocks foam might not collapse abruptly at a single water saturation; instead there is range of water saturation over which foam weakens. In addition, we address the question of whether Pc* is dependent on formation permeability. We estimate Pc* from data for foam mobility in vs. foam quality, and find, as did Khatib et al. (1988), who introduced the limiting capillary pressure concept, that Pc* can vary with permeability. It increases as permeability decreases, but not enough to reverse the trend of increasing foam apparent viscosity as permeability increases.

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Section: Dependence Of Foam-model Parameters On Permeabilitymentioning

confidence: 92%

Section: Implicit-texture Foam Modelmentioning

confidence: 99%

Section: Implicit-texture Foam Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of Permeability on Foam-model Parameters and the Limiting Capillary Pressure

Farajzadeh¹,

Lotfollahi²,

Eftekhari³

et al. 2015

Proceedings

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Effects of compositional variations on CO₂foam under miscible conditions

Kahrobaei

Vincent-Bonnieu

et al. 2017

AIChE Journal

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in Wiley Online Library (wileyonlinelibrary.com)Foam can mitigate the associated problems with the gas injection by reducing the mobility of the injected gas. The presence of an immiscible oleic phase can adversely affect the foam stability. Nevertheless, under miscible conditions gas and oil mix in different proportions forming a phase with a varying composition at the proximity of the displacement front. Therefore, it is important to understand how the compositional variations of the front affect the foam behavior. In this study through several core-flood experiments under miscible condition, three different regimes were identified based on the effects of the mixed-phase composition on CO 2 foam-flow behavior: In Regime 1 the apparent viscosity of the in-situ fluid was the highest and increased with increasing x CO2 . In Regime 2 the apparent viscosity increased with decreasing x CO2 . In Regime 3 the apparent viscosity of the fluid remained relatively low and insensitive to the value of x CO2 . V C 2017 American Institute of Chemical Engineers AIChE J, 64: 758-764, 2018

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Comparative investigation of the static and dynamic properties of CO₂ foam and N₂ foam

Wang

Zhai

et al. 2016

Can J Chem Eng

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Foam flood using CO 2 can both enhance oil recovery and achieve geological storage of CO 2 , which has attracted increasing attention in the last two decades. This work systematically investigates the behaviours of CO 2 and N 2 foams both in bulk and porous media by static foam tests and core flood experiments. The stability and foamability of CO 2 and N 2 foams were compared in static foam tests. The foam texture showed that CO 2 foam bubbles were relatively larger and exhibited a wider size distribution than N 2 foam bubbles, which was detrimental to foam stability. Furthermore, steady-state foam flows of CO 2 and N 2 foams at a fixed liquid flow rates were comparatively investigated with a foam quality range of 30-98 %. The difference between CO 2 foam stability and N 2 foam stability in porous media was relatively smaller, compared with the difference in bulk. Additionally, the analysis of foam rheology showed that foam exhibited different non-Newtonian flow characteristics at different foam qualities, and the resistance to shearing of CO 2 foam was lower than that of N 2 foam. Finally, the results of foam flood experiments demonstrated that the oil recoveries of CO 2 foam were lower than those of N 2 foam with a co-injection strategy under both subcritical and supercritical conditions. Compared with results in the atmosphere environment, the oil recovery of CO 2 foam flood was higher under supercritical conditions.

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Non-uniqueness, Numerical Artifacts, and Parameter Sensitivity in Simulating Steady-State and Transient Foam Flow Through Porous Media

Cited by 59 publications

References 40 publications

Effect of Permeability on Foam-model Parameters and the Limiting Capillary Pressure

Effect of Permeability on Foam-model Parameters and the Limiting Capillary Pressure

Effects of compositional variations on CO₂foam under miscible conditions

Comparative investigation of the static and dynamic properties of CO₂ foam and N₂ foam

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Non-uniqueness, Numerical Artifacts, and Parameter Sensitivity in Simulating Steady-State and Transient Foam Flow Through Porous Media

Cited by 59 publications

References 40 publications

Effect of Permeability on Foam-model Parameters and the Limiting Capillary Pressure

Effect of Permeability on Foam-model Parameters and the Limiting Capillary Pressure

Effects of compositional variations on CO2foam under miscible conditions

Comparative investigation of the static and dynamic properties of CO2 foam and N2 foam

Contact Info

Product

Resources

About

Effects of compositional variations on CO₂foam under miscible conditions

Comparative investigation of the static and dynamic properties of CO₂ foam and N₂ foam