2015
DOI: 10.1306/04231514122
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Quantifying flow in variably wet microporous carbonates using object-based geological modeling and both lattice-Boltzmann and pore-network fluid flow simulations

Abstract: project BG Group, Chevron, Dong Energy and Wintershall for funding and for permission to publish this work. We thank the Edinburgh Parallel Computing Centre (EPCC) for allowing access to the BGQ machine and computational time. Kevin Stratford acknowledges support from UK EPSRC grant EP/J007404.

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Cited by 11 publications
(11 citation statements)
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“…Few models, however, have been dedicated to carbonates and they have used either statistical reconstruction [2,3,4,5] or process-based approach [6,7,8].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Few models, however, have been dedicated to carbonates and they have used either statistical reconstruction [2,3,4,5] or process-based approach [6,7,8].…”
Section: Introductionmentioning
confidence: 99%
“…From the set of the voxels contained in the expanded grain, remove the voxels that are also contained in the original grain. tional domain requires that the medium is either mirrored about the outlet, so that its length doubles [8], or that a buffer zone is added on both sides of the medium [52]. In both cases the computational domain is increased and so does the simulation time.…”
mentioning
confidence: 99%
“…Furthermore, micropore volume and distribution will exert an important influence on hydrocarbon sweep and recovery factor, potentially leading to trapping and bypassing of hydrocarbons (e.g., Hollis et al, 2010;Harland et al, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…Examination of the wetting state of micropores is particularly important, as these may dominate the connected pore system in many carbonate reservoirs [ Cantrell and Hagerty , ]. Moreover, although the contribution of the microporosity to both fluid flow and oil recovery has traditionally been thought to be unimportant, recent work has indicated that this may not be the case [ Harland et al ., ; Kallel et al ., ].…”
Section: Introductionmentioning
confidence: 99%