Comparison of Chemical-Component Transport in Naturally Fractured Reservoirs Using Dual-Porosity and Multiple-Interacting-Continua Models

Al-Rudaini, Ali; Geiger, Sebastian; Mackay, Eric James; Maier, C.; Pola, Jackson

doi:10.2118/195448-pa

Cited by 7 publications

(6 citation statements)

References 46 publications

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“…Moreover, the higher level of heterogeneity may require an additional partitioning layer of the model to capture 2020;Sablok and Aziz 2008;Yan et al 2016)). 6.…”

Section: Discussionmentioning

confidence: 99%

“…1C. The matrix subdomains provided the required mean to capture the transient effect through having their independent properties such as; pressure, saturation, chemical concentration, or any other characteristics, which help to improve the simulation accuracy of the dual-porosity model (Al-Rudaini et al 2020). The number of subdomains in the MINC model depends on the process that is required to be simulated.…”

Section: Introductionmentioning

confidence: 99%

“…The number of subdomains in the MINC model depends on the process that is required to be simulated. Al-Rudaini et al (2020) have investigated various scenarios of the matrix subdomains division to enhance the simulation accuracy of chemical-component transport by comparing the minimum error between MINC, the classical DP model and the Single Porosity (SP) model. Furthermore, a simpler MINC model of two matrix subdomains only has been used by Ahmed Elfeel et al (2016) to simulate Water Alternate Gas (WAG) injection scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…Some of these simplifications comprised using an equal viscosity and density for the oil phase and the water phase to identify the impact of spontaneous imbibition solely without the gravity effect (e.g. (Al-Rudaini et al 2020;Ahmed Elfeel et al 2016)).…”

Section: Introductionmentioning

confidence: 99%

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Modelling the transient effect in naturally fractured reservoirs

Aljuboori

Lee

Elraies

et al. 2022

J Petrol Explor Prod Technol

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Modelling of Naturally Fractured Reservoirs (NFR’s) is a very challenging task. NFR’s are often simulated using the dual-porosity (DP) model, which requires significantly lower computational time and less simulation cost compared with the fine-grid modelling. However, the DP model is unable to capture the transient effect, the saturation front, and its tendency to overestimate the predicted oil recovery, as the invaded fluid is immediately reaching the gridblock centre once its saturation exceeds the critical saturation. The matrix block discretisation and modifying the transfer function are among the widely investigated areas to represent the transient effect and to improve the simulation accuracy. Adjusting the transfer function often results in complicated and unstable solutions, which make this approach limited in use. However, the matrix discretisation technique, such as Multiple Interacting Continua (MINC), is one of the utilised approaches to improve the simulation of NFR’s. The model’s layers provide the required mean to capture the transient effect and to include the matrix heterogeneities. In this work, we present an improvement to the original MINC model to enhance its accuracy and stability using a particular case of two subdomains model. We suggested using an equal volume of the matrix sub-blocks, besides performing an adjustment to the calculation of fluid saturation. The new adjustments have provided a stable solution and improved simulation results compared with the original MINC model. Besides the advantage of the matrix layers to handle various heterogeneities with excellent simulation accuracy and marginal errors, and hence a reliable performance and prediction.

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“…Moreover, the higher level of heterogeneity may require an additional partitioning layer of the model to capture 2020;Sablok and Aziz 2008;Yan et al 2016)). 6.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modelling the transient effect in naturally fractured reservoirs

Aljuboori

Lee

Elraies

et al. 2022

J Petrol Explor Prod Technol

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“…This is conceptually similar to Darcy's model for a porous medium but accounts for the potential absence of a representative elementary volume. Multicontinua and mobile‐immobile models (Al‐Rudaini et al., 2020; Goltz & Roberts, 1986; Lichtner & Karra, 2014) represent the next level of complexity to account for the presence of preferential flow paths in fractured rocks while staying within the Darcian framework. Hybrid discrete‐continuum models explicitly represent dominant fractures while representing smaller fractures as a continuum (Carrera & Martinez‐Landa, 2000; Fischer et al., 2020).…”

Section: Uncertainty Quantification Multifidelity Models and Emulatorsmentioning

confidence: 99%

From Fluid Flow to Coupled Processes in Fractured Rock: Recent Advances and New Frontiers

Viswanathan

Ajo‐Franklin

Birkhölzer

et al. 2022

Reviews of Geophysics

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Quantitative predictions of natural and induced phenomena in fractured rock is one of the great challenges in the Earth and Energy Sciences with far‐reaching economic and environmental impacts. Fractures occupy a very small volume of a subsurface formation but often dominate fluid flow, solute transport and mechanical deformation behavior. They play a central role in CO2 sequestration, nuclear waste disposal, hydrogen storage, geothermal energy production, nuclear nonproliferation, and hydrocarbon extraction. These applications require predictions of fracture‐dependent quantities of interest such as CO2 leakage rate, hydrocarbon production, radionuclide plume migration, and seismicity; to be useful, these predictions must account for uncertainty inherent in subsurface systems. Here, we review recent advances in fractured rock research covering field‐ and laboratory‐scale experimentation, numerical simulations, and uncertainty quantification. We discuss how these have greatly improved the fundamental understanding of fractures and one's ability to predict flow and transport in fractured systems. Dedicated field sites provide quantitative measurements of fracture flow that can be used to identify dominant coupled processes and to validate models. Laboratory‐scale experiments fill critical knowledge gaps by providing direct observations and measurements of fracture geometry and flow under controlled conditions that cannot be obtained in the field. Physics‐based simulation of flow and transport provide a bridge in understanding between controlled simple laboratory experiments and the massively complex field‐scale fracture systems. Finally, we review the use of machine learning‐based emulators to rapidly investigate different fracture property scenarios and accelerate physics‐based models by orders of magnitude to enable uncertainty quantification and near real‐time analysis.

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