The impact of viscosity contrast on the error of heterogeneity loss in upscaling of geological models

Ganjeh-Ghazvini, Mostafa

doi:10.1016/j.petrol.2018.10.061

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…16 In other researches, the microbial enhanced oil recovery has been discussed. 17 In other studies, the genetic algorithm with the aim of optimal injection of carbon dioxide into the injection well has been investigated. 18 In other studies, the properties of the reservoir have been investigated.…”

Section: Introductionmentioning

confidence: 99%

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Simulation study of water and gas injection process into the Azadegan reservoir for enhanced oil recovery

Farahbod

2023

Engineering Reports

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It is necessary to improve oil production from reservoirs. Various methods have been proposed to increase oil extraction from reservoir. Each method has specific challenges. In this research, the effect of water and gas injection in to Azadegan reservoir has been analyzed. Azadegan oil field is located south of Iran. In this study, water, immiscible gas and water alternating gas injected to reservoir and its effect on enhanced oil recovery have been investigated. Finally, a comparison between results of methods is provided. Results show that effective method for enhanced oil recovery is immiscible gas injection with 46% oil production efficiency and water alternating gas injection with 36% oil production efficiency. This study shows that oil production efficiency can be increased if duration of gas injection is increased. This study shows, increasing viscosity of water in water alternating gas scenario did not improve the production of Azadegan reservoir.

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Section: Introductionmentioning

confidence: 99%

“…In some studies, the use of different chemicals and its effect on the EOR have been evaluated 16 . In other researches, the microbial enhanced oil recovery has been discussed 17 . In other studies, the genetic algorithm with the aim of optimal injection of carbon dioxide into the injection well has been investigated 18 .…”

Section: Introductionmentioning

confidence: 99%

Simulation study of water and gas injection process into the Azadegan reservoir for enhanced oil recovery

Farahbod

2023

Engineering Reports

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“…There are relatively few studies in the area of upscaling errors which have not been investigated in detail. Three types of errors which can be caused by upscaling are numerical dispersion, heterogeneity loss and connectivity misrepresentation (Ganjeh-Ghazvini, 2019;Ganjeh-Ghazvini et al, 2015a). The latter mostly occurs in the gas-oil displacement.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the impacts of relative permeability and mobility ratio on heterogeneity loss error during upscaling of geological models

Darban

Ghaedi

Qajar

2020

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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The detailed geological fine grids are upscaled to create reliably sized simulation coarse models to solve flow equations in a more efficient way. Any upscaling process results in a loss of accuracy, along with an increase of errors. Numerical dispersion, heterogeneity loss, and connectivity misrepresentation are responsible for the upscaling errors. Recognizing the source of each error, and the behavior of influential factors through upscaling process could provide an optimum level of upscaling and an evaluation of upscaling methods’ accuracy. Despite the importance of upscaling error, little attention has been paid to this subject. This paper represents a rigorous analysis of the heterogeneity loss behavior associated with the relative permeability contrast and the mobility ratio under a waterflooding process. For this purpose, heterogeneous fine grid models are constructed by the fractional Brownian motion process. The models are upscaled by three upscaling factors. The models achieved are implemented to eliminate the impact of numerical error among upscaling errors in order to focus strictly on heterogeneity loss. Water–oil displacement simulation is then performed on fine and corresponding refined upscaled models at three different ratios of relative permeabilities and mobility ratios. In the next stage, the relation between flow performance error and heterogeneity loss is investigated by the heterogeneity loss plot. The slope of this plot provides the reservoir engineer an insight to evaluate the performance of upscaling methods and the behavior of the influential factors on upscaling errors. Moreover, by using the heterogeneity loss plot for each ratio, a limit of coarsening is presented. Based on the results, the heterogeneity loss error is affected more by the mobility ratio contrast than the relative permeability difference. Also, it is demonstrated that water-wet reservoirs with light oil are more sensitive to the level of upscaling.

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Multiresolution simultaneous upscaling of two features of the reservoir using the bandwidth of the kernel function and wavelet transformation

Azad

Rouhani

Tokhmechi

et al. 2021

Journal of Petroleum Science and Engineering

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The impact of viscosity contrast on the error of heterogeneity loss in upscaling of geological models

Cited by 5 publications

References 25 publications

Simulation study of water and gas injection process into the Azadegan reservoir for enhanced oil recovery

Simulation study of water and gas injection process into the Azadegan reservoir for enhanced oil recovery

Analysis of the impacts of relative permeability and mobility ratio on heterogeneity loss error during upscaling of geological models

Multiresolution simultaneous upscaling of two features of the reservoir using the bandwidth of the kernel function and wavelet transformation

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