Suitability of hot urea solutions for wettability alteration of bitumen reservoirs – Simulation of laboratory flooding experiments

Dahbag, Mabkhot Bin; Al-Gawfi, Abdullah

doi:10.1016/j.fuel.2020.117713

Cited by 11 publications

(8 citation statements)

References 29 publications

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“…CMG-STARS employs various equations to generate relative permeability curves, which convey rock-fluid interactions in porous media flow studies. Corey's correlation is an important alternative to calculate relative permeability curves, particularly in situations wherein displacing/displaced fluid properties are not available in detail [42][43][44]. This behavior is described in Eqs.…”

Section: Simulation Methodologymentioning

confidence: 99%

“…K rw , K row ,K rog and K rg refer to respective values of water phase relative permeability for water-oil table, oil phase relative permeability for water-oil table, liquid phase relative permeability for liquid-gas table, and gas phase relative permeability for liquid-gas table. Different saturation terms were employed to characterize wetting characteristics of reservoir rock [43,44]. It is to be noted that K rocw isK ro at connate water saturation,K rgcl is K rg at connate liquid saturation, K rwiro isK rw at irreducible oil saturation,andK rogcg is K rog at connate gas saturation.…”

Section: Simulation Methodologymentioning

confidence: 99%

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Numerical Simulation of Enhanced Oil Recovery (EOR) studies for aqueous Gemini Surfactant-Polymer-Nanoparticle systems

Pal

Mandal²

2020

Preprint

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The article investigates the efficacy of gemini surfactant/polymer/nanoparticle flooding on chemical EOR. Initially, physicochemical behavior of aqueous chemical fluids were investigated via interfacial tension reduction, wettability alteration, adsorption, viscosity moderation and oil displacement experiments. During compositional analysis, Cartesian model with specified grid properties, injection flow-rate, well pattern, and rock-fluid characteristics was developed using CMG-STARS tool. Contour map analyses showed that oil saturation decreased from˜80% (initial) to 31.96%, 30.68% and 29.30% after {14-6-14 GS + chase water}, {14-6-14 GS + PHPA + chase water} and {14-6-14 GS + PHPA + SiO2 chase water} flooding respectively. Tertiary recoveries of 15-19% were achieved, depending on injected fluid composition. Experimental data were history matched via CMOST tool to achieve good matching of simulated results. The CMG flooding simulator provides a holistic approach to investigate oil displacement profiles, assess flooding recovery capabilities with near-accuracy and predict the feasibility of proposed chemical EOR projects.

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Section: Simulation Methodologymentioning

confidence: 99%

Section: Simulation Methodologymentioning

confidence: 99%

Numerical Simulation of Enhanced Oil Recovery (EOR) studies for aqueous Gemini Surfactant-Polymer-Nanoparticle systems

Pal

Mandal²

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…CMG‐STARS employs various equations to generate relative permeability curves, which convey rock‐fluid interactions in porous media flow studies. Corey's correlation is an important alternative to calculate relative permeability curves, particularly in situations wherein displacing/displaced fluid properties are not available in detail 45‐47 . This behavior is described in Equations , and as:

K_{rw} = K_{rwiro} {(\frac{S_{w} - S_{wcrit}}{1.0 - S_{wcrit} - S_{oirw}})}^{N_{w}}

K_{row} = K_{rocw} {(\frac{S_{o} - S_{orw}}{1.0 - S_{wcon} - S_{orw}})}^{N_{ow}}

K_{rog} = K_{rogcg} {(\frac{S_{l} - S_{org} - S_{wcon}}{1.0 - S_{gcon} - S_{org} - S_{wcon}})}^{N_{og}}

K_{rg} = K_{rgcl} {(\frac{S_{g} - S_{gcrit}}{1.0 - S_{gcrit} - S_{oirg} - S_{wcon}})}^{N_{g}}

…”

Section: Experimental and Simulationmentioning

confidence: 99%

“…K rw , K row , K rog , and K rg refer to respective values of water phase relative permeability for water–oil table, oil phase relative permeability for water–oil table, liquid phase relative permeability for liquid–gas table, and gas phase relative permeability for liquid–gas table. Different saturation terms were employed to characterize wetting characteristics of reservoir rock 46,47 . It is to be noted that K rocw is K ro at connate water saturation, K rgcl is K rg at connate liquid saturation, K rwiro is K rw at irreducible oil saturation, and K rogcg is K rog at connate gas saturation.…”

Section: Experimental and Simulationmentioning

confidence: 99%

Numerical simulation of enhanced oil recovery studies for aqueous gemini surfactant‐polymer‐nanoparticle systems

Pal

2020

AIChE Journal

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The article investigates the efficacy of gemini surfactant/polymer/nanoparticle flooding on chemical EOR. Initially, physicochemical behavior of aqueous chemical fluids were investigated via interfacial tension reduction, wettability alteration, adsorption, viscosity moderation and oil displacement experiments. During compositional analysis, Cartesian model with specified grid properties, injection flow-rate, well pattern, and rock-fluid characteristics was developed using CMG-STARS tool. Contour map analyses showed that oil saturation decreased from~80% (initial) to 31.96%, 30.68%, and 29.30% after {14-6-14 GS + chase water}, {14-6-14 GS + PHPA + chase water}, and {14-6-14 GS + PHPA + SiO 2 chase water} flooding respectively. Tertiary recoveries of 15-19% were achieved, depending on injected fluid composition. Experimental data were history matched via CMOST tool to achieve good matching of simulated results. The CMG flooding simulator provides a holistic approach to investigate oil displacement profiles, assess flooding recovery capabilities with near-accuracy and predict the feasibility of proposed chemical EOR projects.

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“…Therefore, other efficient mechanisms, for say wettability alteration, are expected to enhance oil recovery in those reservoirs [4,9,10]. Different processes of wettability alteration for EOR have been studied, including surfactant flooding [11][12][13][14][15], surfactant-alkaline flooding [16][17][18][19], microemulsion flooding [20], nanoparticle (NP) applications [21][22][23][24][25], hot urea solutions B Saeid Norouzi-Apourvari snorouzi@uk.ac.ir 1 Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Kerman, Iran [26], and low-salinity waterflooding [27][28][29]. A general discussion of materials and methods employed in wettability alteration was studied by Mohammed and Babadagli [30].…”

Section: Introductionmentioning

confidence: 99%

Insight into the Synergic Effect of Ultrasonic Waves, SDS Surfactant, and Silica Nanoparticles on Wettability Alteration of Carbonate Rocks

et al. 2021

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The impact of ultrasonic radiation, as an emerging enhanced oil recovery technique, on reservoir fluid properties is of great importance in petroleum engineering. Although the effect of sonication on fluid properties has been widely investigated, the wettability alteration of carbonate rocks via different solutions under ultrasonic radiation has not been considered. In this study, the synergic impact of ultrasonic radiation on the wettability alteration of carbonate rocks was studied by using distilled water, seawater, SDS surfactant, silica nanoparticles, and SDS surfactant-silica nanoparticles solutions. Variance analysis showed that all parameters under ultrasonic radiation, including types of water, surfactant solution, nanoparticles, sonication time, and temperature, were meaningful and had influences on the wettability alteration. The contact angle decreased notably by raising the temperature and sonication time. Ultrasonic waves improved the elimination of chemisorbed fatty acids on the surface, and this could be one of the mechanisms of wettability alteration by the ultrasonic application.

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Suitability of hot urea solutions for wettability alteration of bitumen reservoirs – Simulation of laboratory flooding experiments

Cited by 11 publications

References 29 publications

Numerical Simulation of Enhanced Oil Recovery (EOR) studies for aqueous Gemini Surfactant-Polymer-Nanoparticle systems

Numerical Simulation of Enhanced Oil Recovery (EOR) studies for aqueous Gemini Surfactant-Polymer-Nanoparticle systems

Numerical simulation of enhanced oil recovery studies for aqueous gemini surfactant‐polymer‐nanoparticle systems

Insight into the Synergic Effect of Ultrasonic Waves, SDS Surfactant, and Silica Nanoparticles on Wettability Alteration of Carbonate Rocks

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