2023
DOI: 10.1051/e3sconf/202336601001
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Multi-scale Digital Rock: Application of a multi-scale multi-phase workflow to a Carbonate reservoir rock

Abstract: In some of the challenging digital rock applications the trade-off between model resolution and representative elemental volume is not captured in a single resolution model satisfying the minimum requirements for both aspects. In the wide range of lithofacies found in carbonate reservoir rocks, some facies fall in this category, where large pores, ooids or vugs, are connected by small scale porous structures that could have orders of magnitude smaller pores. In these cases a multi-scale digital rock approach i… Show more

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Cited by 2 publications
(4 citation statements)
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“…For these high clay content sandstones, with half of the pore space below the microCT image resolution, the current workflow predicts porosities within 5%, absolute permeability within 10% and relative permeability 𝐾 curves consistent with existing lab results. The current workflow demonstrate that is possible to use simplified models to extend the scope of application of digital rock technology to some challenging rock types, like high clay content sandstones, without having to explicitly simulate fluids movement in the unresolved pore regions using other multiscale multiphase flow methods such as [26][27][28][29][30]. In cases where the main percolating path is capture, but still a significant pore space fraction is unresolved, the method proposed in this paper could be computationally less expensive than full multiscale multiphase fluid flow methods [26][27][28][29][30].…”
Section: Discussionmentioning
confidence: 99%
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“…For these high clay content sandstones, with half of the pore space below the microCT image resolution, the current workflow predicts porosities within 5%, absolute permeability within 10% and relative permeability 𝐾 curves consistent with existing lab results. The current workflow demonstrate that is possible to use simplified models to extend the scope of application of digital rock technology to some challenging rock types, like high clay content sandstones, without having to explicitly simulate fluids movement in the unresolved pore regions using other multiscale multiphase flow methods such as [26][27][28][29][30]. In cases where the main percolating path is capture, but still a significant pore space fraction is unresolved, the method proposed in this paper could be computationally less expensive than full multiscale multiphase fluid flow methods [26][27][28][29][30].…”
Section: Discussionmentioning
confidence: 99%
“…In this case it is impossible to cover all pore scales in one digital rock analysis. There are several studies on the effect of unresolved pores and how to predict petrophysical properties, such as porosity, capillary pressure, absolute and relative permeabilities [6][7][8][9][10][26][27][28][29][30] but none, to our knowledge, on how to predict relative permeability curves by using multiphase fluid flow from direct numerical simulation in high clay content sandstones, such as the case just described, leading to a model with significant amount of unresolved porosity. This work investigate this case, a high clay content sandstone, by using an extension of current numerical digital rock workflows [11] to simulate fluid flow in rocks where a connected pore-space is resolved and unresolved pores do not provide a significant contribution to single phase flow, however for multiphase flow can provide critical connectivity paths for the wetting phase and impact the overall behavior of 𝑘 and 𝑃 curves.…”
Section: Introductionmentioning
confidence: 99%
“…The simulation cost is saved by a factor of 200 at best. Further applications of this underresolved simulation approach for reservoir rock can be found in [38]. The models and methodology in this study can be extensively applied to various engineering systems of multiscale porous structures, such as the example cases in the introduction.…”
Section: Discussionmentioning
confidence: 99%
“…i. Conduct a geometrical analysis for the original image and categorize the porous structures [38]. Then, the porous structure in each underresolved region, i.e., the gray region in Fig.…”
Section: Numerical Models and Workflow For Multiscale Porous Structuresmentioning
confidence: 99%