Impact of mineralogical heterogeneity on reactive transport modelling

Liu, Min; Shabaninejad, Mehdi; Mostaghimi, Peyman

doi:10.1016/j.cageo.2017.03.020

Cited by 81 publications

(41 citation statements)

References 44 publications

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“…Significant advancements in imaging techniques and processing capabilities have made it possible to resolve the porous media from the nanometer to the micrometer scale and beyond. These techniques include X-ray computed microtomography (XCMT, e.g., [15,66]), scanning electron microscopy (SEM), and back-scattered SEM (e.g., [33,69]), SEM Quantitative Evaluation of Minerals by Scanning Electron Microscopy (QEMSCAN ® , e.g., [12,55]), focused ion beam SEM (FIB-SEM, e.g., [50,114]), and optical microscopy (e.g., [96]). Generally, experimental images are two-or threedimensional gray scale representations of the medium, with each pixel providing a measure of the phase or phases that occupy that point in space (e.g., x-ray attenuation in XCMT).…”

Section: Geometry Generation and Interface Evolutionmentioning

confidence: 99%

“…Approaches that use an explicit representation of the interface (Section 2) require binarization of the gray scale image (or ternary and higher-order segmentations for multiple phases, e.g., [55]), although this can also be automated in the code. An advantage of the Darcy-Brinkman-Stokes approach (Section 3.5) is that the voxelbased image data can be correlated to porosity fields and readily incorporated into the model [95,98].…”

Section: Geometry Generation and Interface Evolutionmentioning

confidence: 99%

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Simulation of mineral dissolution at the pore scale with evolving fluid-solid interfaces: review of approaches and benchmark problem set

et al. 2020

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This manuscript presents a benchmark problem for the simulation of single-phase flow, reactive transport, and solid geometry evolution at the pore scale. The problem is organized in three parts that focus on specific aspects: flow and reactive transport (part I), dissolution-driven geometry evolution in two dimensions (part II), and an experimental validation of threedimensional dissolution-driven geometry evolution (part III). Five codes are used to obtain the solution to this benchmark problem, including Chombo-Crunch, OpenFOAM-DBS, a lattice Boltzman code, Vortex, and dissolFoam. These codes cover a good portion of the wide range of approaches typically employed for solving pore-scale problems in the literature, including discretization methods, characterization of the fluid-solid interfaces, and methods to move these interfaces as a result of fluid-solid reactions. A short review of these approaches is given in relation to selected published studies. Results from the simulations performed by the five codes show remarkable agreement both quantitatively-based on upscaled parameters such as surface area, solid volume, and effective reaction rate-and qualitatively-based on comparisons of shape evolution. This outcome is especially notable given the disparity of approaches used by the codes. Therefore, these results establish a strong benchmark for the validation and testing of pore-scale codes developed for the simulation of flow and reactive transport with evolving geometries. They also underscore the significant advances seen in the last decade in tools and approaches for simulating this type of problem.

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Section: Geometry Generation and Interface Evolutionmentioning

confidence: 99%

Section: Geometry Generation and Interface Evolutionmentioning

confidence: 99%

Simulation of mineral dissolution at the pore scale with evolving fluid-solid interfaces: review of approaches and benchmark problem set

et al. 2020

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“…The authors thank the co-authors of poROSE software: Habrat M., Puskarczyk E., Jędrychowski M. The results were also partially supported and financed by Dean of Faculty of Geology, Geophysics and Environmental Protection (the research subsidy no. 16…”

Section: Discussionmentioning

confidence: 99%

“…One of the approaches is to use the Tangential Momentum Accommodation Coefficient (TMAC), which describes the gas behavior in collisions with a wall surface. To simulate fluid flow in porous structure, the Lattice Boltzmann Method (LBM) can also be used [16][17][18][19][20]. The LBM method gives the possibilities to study the effects of gas molecules flow on a small size scale, which can occur in gas flow through low porous materials.…”

Section: Introductionmentioning

confidence: 99%

Research on Fluid Flow and Permeability in Low Porous Rock Sample Using Laboratory and Computational Techniques

Krakowska

Madejski

2019

Energies

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The paper presents results of fluid flow simulation in tight rock being potentially gas-bearing formation. Core samples are under careful investigation because of the high cost of production from the well. Numerical simulations allow determining absolute permeability based on computed X-ray tomography images of the rock sample. Computational fluid dynamics (CFD) give the opportunity to use the partial slip Maxwell model for permeability calculations. A detailed 3D geometrical model of the pore space was the input data. These 3D models of the pore space were extracted from the rock sample using highly specialized software poROSE (poROus materials examination SoftwarE, AGH University of Science and Technology, Kraków, Poland), which is the product of close cooperation of petroleum science and industry. The changes in mass flow depended on the pressure difference, and the tangential momentum accommodation coefficient was delivered and used in further quantitative analysis. The results of fluid flow simulations were combined with laboratory measurement results using a gas permeameter. It appeared that for the established parameters and proper fluid flow model (partial slip model, Tangential Momentum Accommodation Coefficient (TMAC), volumetric flow rate values), the obtained absolute permeability was similar to the permeability from the core test analysis.

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“…Evaluation of the change in porosity and permeability in carbonate rocks is usually carried out using computerized microtomography (microCT) techniques. From a three-dimensional image, it is possible to obtain both the structure of the porous matrix and the pattern of dissolution of the rock [34]. In this work, we were interested in proving the effectiveness of nanoemulsion systems to form wormhole patterns; therefore, we used microCT to visualize the structure formed.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Fluid–Solid Interaction of Acid Nonionic Nanoemulsion with Carbonate Porous Media

et al. 2020

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The subject of rock–fluid interaction is important in cases where flow through porous media is occurring. One special case is when the fluid reacts with the porous matrix. In this case, the mass transfer and reaction rate control the dissolution pattern. This article aimed to study the interaction between an acid nanoemulsion system and a carbonate porous media. Nanoemulsions were developed to retard the rock’s dissolution and to promote the formation of conductivity channels. Nanoemulsions were prepared using ALK100 (alkyl alcohol ethoxylate) and RNX110 (alkylphenol ethoxylate) (nonionic surfactants), sec-butanol (co-surfactant), xylene isomers (oil phase), and a solution of HCl (aqueous phase). The obtained systems were characterized in terms of surface tension, droplet diameter, and reactivity. X-ray fluorescence/diffraction (XRF/XRD) and X-ray microtomography (microCT) were performed on carbonate porous media samples treated with the acid systems in order to observe the effects of the fluid–rock interaction. The results showed that the acid nanoemulsion, presenting a low oil content formulation, showed the low surface tension and droplet size characteristic of nanoemulsions. It was experimentally verified that the reactivity in the nanoemulsion media was mass-transfer-retarded, and that the wormhole pattern was verified under the studied conditions.

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Impact of mineralogical heterogeneity on reactive transport modelling

Cited by 81 publications

References 44 publications

Simulation of mineral dissolution at the pore scale with evolving fluid-solid interfaces: review of approaches and benchmark problem set

Simulation of mineral dissolution at the pore scale with evolving fluid-solid interfaces: review of approaches and benchmark problem set

Research on Fluid Flow and Permeability in Low Porous Rock Sample Using Laboratory and Computational Techniques

Investigating the Fluid–Solid Interaction of Acid Nonionic Nanoemulsion with Carbonate Porous Media

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