2011
DOI: 10.1016/j.petrol.2011.02.014
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Numerical modeling CO2 injection in a fractured chalk experiment

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Cited by 10 publications
(3 citation statements)
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“…Alavian and Whitson also attempted to model this experiment with the Eclipse 300 simulator but chose to increase the surface (separator) temperature from 15 to 30 °C and decrease the fracture permeability to a low 80 md, which increases the simulated oil recovery through viscous forces to compensate for the limitations in the diffusion modeling. Alavian and Whitson also simulated a similar experiment and again found that the results with and without Fickian diffusion are similar using both the SENSOR and Eclipse 300 simulators and that the measured recovery could only be reproduced through viscous forces by lowering the fracture permeability to 26 md. Recent versions of the Eclipse simulator do have an option to compute diffusion from chemical potential gradients, but they still suffer from the limitations of the dual-porosity fracture model and the mass balance violations caused by allowing only matrix-diagonal diffusion coefficients, as discussed above.…”
Section: Numerical Examplesmentioning
confidence: 78%
“…Alavian and Whitson also attempted to model this experiment with the Eclipse 300 simulator but chose to increase the surface (separator) temperature from 15 to 30 °C and decrease the fracture permeability to a low 80 md, which increases the simulated oil recovery through viscous forces to compensate for the limitations in the diffusion modeling. Alavian and Whitson also simulated a similar experiment and again found that the results with and without Fickian diffusion are similar using both the SENSOR and Eclipse 300 simulators and that the measured recovery could only be reproduced through viscous forces by lowering the fracture permeability to 26 md. Recent versions of the Eclipse simulator do have an option to compute diffusion from chemical potential gradients, but they still suffer from the limitations of the dual-porosity fracture model and the mass balance violations caused by allowing only matrix-diagonal diffusion coefficients, as discussed above.…”
Section: Numerical Examplesmentioning
confidence: 78%
“…Miscible displacement processes have been developed as a successful method to improve oil recovery from naturally fractured reservoirs (NFRs). The success of a miscible displacement process in NFRs largely depends on the degree of mass exchange between the solvent in the fracture and the oil in the matrix. , When the injected fluid is fully miscible with the oil in the matrix, there is no capillary-driven cross-flow between matrix and fracture. Moreover, because of the existence of highly conductive and interconnected fracture networks, viscous forces are usually negligible compared to gravity forces. , Consequently, gravity drive and diffusion–dispersion drive are considered to be the dominant mechanisms responsible for the miscible recovery from NFRs. , The relative contribution of each of these controlling mechanisms (i.e., diffusion and gravity) can be examined using characteristic times.…”
Section: Introductionmentioning
confidence: 99%
“…Several authors have studied immiscible gas and MCM gas injection processes in fractured reservoirs by numerical modeling. ,, Uleberg and Høier, based on compositional reservoir modeling, showed that the developed miscibility level in a fractured reservoir is significantly higher than for a conventional one-dimensional, single-porosity system. In the numerical simulations of Suicmez et al the best results, regarding the ultimate recovery and drainage rate, were obtained for the case where miscibility develops through repeated contacts between the injected gas and the oil in the matrix (i.e., developed miscibility conditions).…”
Section: Introductionmentioning
confidence: 99%