The Optimized Dispersivity Coefficient for a Miscible Displacement Process

Kamalipour, Meisam; Jamialahmadi, M.; Shahrabadi, Abbas

doi:10.3997/2214-4609.20145986

Cited by 4 publications

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“…The calculated value for this study by this equation was 7.08E-5 cm2/sec. Three scenarios have been considered in this study which is neglecting mechanical dispersion, neglecting physical dispersion and considering physical dispersion to study the effect of these parameters at different ranges of mechanism control [4]. Table 1 shows the produced oil after one month of injection for cases of neglecting mechanical dispersion or physical dispersion.…”

Section: Resultsmentioning

confidence: 99%

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Improving the Recovery of CO2 Injection in Sarkan Oil Field Reservoir in Iran by Selecting the Reasonable Dispersivity Coefficient for Injection Process

Kamalipour

Ali²,

Shahrabadi³

et al. 2010

All Days

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Evaluation and improvement of sweep efficiency are important issues of miscible displacement process. Miscibility is controlled by physical dispersion during miscible processes. It comprises of two parameters: diffusion and mechanical dispersion. Unfortunately this parameter is usually ignored during simulating the miscible processes which would be considered as an enormous source of error. Results show the existence of three regions at which each component of physical dispersion controls the miscible CO 2 injection. For dispersivities between 0.123m to 0.175m the miscible process is controlled by physical dispersion mechanism while dispersivities lower than 0.123m specifies a region controlled by diffusion in the field case. The third region is the region for dispersivities greater than 0.175m and the main parameter affecting the miscible process in this region is mechanical dispersion. This study discusses the the effect of this parameter on recovery, mixing zone length and breakthrough time of injecting CO 2 in a natural fracture reservoir in Iran.

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Section: Resultsmentioning

confidence: 99%

“…But drawing this ratio respect to pore vcelocity could give the practical results which have been done in this study to specify three regions at which each of diffusion, mechanical dispersion or both controls the mixing mechanism. [4] …”

Section: Methodsmentioning

confidence: 99%

Improving the Recovery of CO2 Injection in Sarkan Oil Field Reservoir in Iran by Selecting the Reasonable Dispersivity Coefficient for Injection Process

Kamalipour

Ali²,

Shahrabadi³

et al. 2010

All Days

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show abstract

“…This simplification is mostly due to have scarce correlations at high pressure and temperature. Knowing the appropriate methods to calculate diffusion and mechanical dispersion will leave no doubt in using these parameters in simulating the miscible processes (Kamalipour et al, 2009(Kamalipour et al, , 2010.…”

Section: Introductionmentioning

confidence: 99%

The Role of Diffusion and Dispersion in Miscible CO₂Injection in an Iranian Naturally Fractured Reservoir

Kamalipour

Shahrabadi²,

Sabzkouhi

et al. 2013

Petroleum Science and Technology

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Miscibility is controlled by physical dispersion during miscible processes that comprise two parameters: diffusion and mechanical dispersion. Testing different dispersivities on one synthetic model then on a field case shows the existence of three regions at which each component of physical dispersion controls the miscible CO2 injection. Unfortunately, this parameter is usually ignored during simulating the miscible processes, but this study shows neglecting physical dispersion will highly affect the breakthrough time of displacing fluid. The results show the highest recovery for the process controlled by physical dispersion which could be an important result in designing a miscible process.

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A new method for reducing the numerical dispersion in mathematical modeling of miscible injection process

Shahrabadi¹,

Kamalipour

Jamialahmadi

2016

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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The Optimized Dispersivity Coefficient for a Miscible Displacement Process

Cited by 4 publications

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Improving the Recovery of CO2 Injection in Sarkan Oil Field Reservoir in Iran by Selecting the Reasonable Dispersivity Coefficient for Injection Process

Improving the Recovery of CO2 Injection in Sarkan Oil Field Reservoir in Iran by Selecting the Reasonable Dispersivity Coefficient for Injection Process

The Role of Diffusion and Dispersion in Miscible CO₂Injection in an Iranian Naturally Fractured Reservoir

A new method for reducing the numerical dispersion in mathematical modeling of miscible injection process

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The Optimized Dispersivity Coefficient for a Miscible Displacement Process

Cited by 4 publications

References 0 publications

Improving the Recovery of CO2 Injection in Sarkan Oil Field Reservoir in Iran by Selecting the Reasonable Dispersivity Coefficient for Injection Process

Improving the Recovery of CO2 Injection in Sarkan Oil Field Reservoir in Iran by Selecting the Reasonable Dispersivity Coefficient for Injection Process

The Role of Diffusion and Dispersion in Miscible CO2Injection in an Iranian Naturally Fractured Reservoir

A new method for reducing the numerical dispersion in mathematical modeling of miscible injection process

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Product

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The Role of Diffusion and Dispersion in Miscible CO₂Injection in an Iranian Naturally Fractured Reservoir