Continuum scale modelling of salt precipitation in the context of CO2 storage in saline aquifers with MRST compositional

Parvin, Saeed; Masoudi, Mohammad; Sundal, Anja; Miri, Rohaldin

doi:10.1016/j.ijggc.2020.103075

Cited by 34 publications

(17 citation statements)

References 45 publications

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“…The pore-scale results can then be upscaled to provide insights into the larger scale models via developing porosity–permeability relationships or clogging models. It should be noted that the clogging models might be a significant source of uncertainty in modeling mineral precipitation 50 because different precipitation processes change the porous medium’s geometry in their specific ways. As a result, a similar change in porosity can lead to entirely different alterations in permeability depending on the process causing the changes, the host environment and materials, and the mechanism behind the changes.…”

Section: Resultsmentioning

confidence: 99%

Probabilistic nucleation governs time, amount, and location of mineral precipitation and geometry evolution in the porous medium

Nooraiepour

Masoudi

Hellevang

2021

Sci Rep

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One important unresolved question in reactive transport is how pore-scale processes can be upscaled and how predictions can be made on the mutual effect of chemical processes and fluid flow in the porous medium. It is paramount to predict the location of mineral precipitation besides their amount for understanding the fate of transport properties. However, current models and simulation approaches fail to predict precisely where crystals will nucleate and grow in the spatiotemporal domain. We present a new mathematical model for probabilistic mineral nucleation and precipitation. A Lattice Boltzmann implementation of the two-dimensional mineral surface was developed to evaluate geometry evolution when probabilistic nucleation criterion is incorporated. To provide high-resolution surface information on mineral precipitation, growth, and distribution, we conducted a total of 27 calcium carbonate synthesis experiments in the laboratory. The results indicate that nucleation events as precursors determine the location and timing of crystal precipitation. It is shown that reaction rate has primary control over covering the substrate with nuclei and, subsequently, solid-phase accumulation. The work provides insight into the spatiotemporal evolution of porous media by suggesting probabilistic and deterministic domains for studying reactive transport processes. We indicate in which length- and time-scales it is essential to incorporate probabilistic nucleation for valid predictions.

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Section: Resultsmentioning

confidence: 99%

Probabilistic nucleation governs time, amount, and location of mineral precipitation and geometry evolution in the porous medium

Nooraiepour

Masoudi

Hellevang

2021

Sci Rep

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“…The choice of distribution inherited from step 1 is based on the Energy & Fuels Examples of systems where the current scheme may work well is the long-term effect of quartz diagenesis, were syntaxial overgrowth may lead to a uniform clogging of the entire pore space, similar to a case with a very large number of crystals. During CO 2 storage, the formation of local and massive salt aggregates 24,52,67 may on the other hand be a good example represented in the scheme by a few crystals with extensive growth in the porous media. Any system predominantly governed by syntaxial overgrowths may be effectively modeled utilizing the proposed framework.…”

Section: Upscalingmentioning

confidence: 99%

“…8,14,49−51,16,22,39,44−48 Furthermore, arbitrary selection of clogging models in RTMs may lead to considerable errors in predicted permeability for the same amount of porosity loss. 7,52 Despite all the mentioned variations and uncertainties, the permeability−porosity evolution during RTM in the continuum scale is usually oversimplified and handled with a single equation with a constant variable. Therefore, a process-based approach is necessary when analyzing permeability−porosity evolution.…”

Section: Introductionmentioning

confidence: 99%

Mineral Precipitation and Geometry Alteration in Porous Structures: How to Upscale Variations in Permeability–Porosity Relationship?

Masoudi,

Nooraiepour,

Deng

et al. 2024

Energy Fuels

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Porous materials in natural and engineered environments are subject to morphological changes resulting from interacting chemical and physical processes. The intricate nature of these coupled processes, occurring at various temporal and spatial scales, poses challenges in predicting alterations in porosity and permeability. Delineating the controls of mineral precipitation reactions is particularly challenging because it requires the implementation of nucleation criteria and growth mechanisms. By conducting pore-scale simulations, we investigated the impact of the amount and stochastic distribution of crystallites, controlled by nucleation, on pore geometry and permeability in two-dimensional porous structures. The observed relationships between porosity and permeability exhibit characteristics that differ from the ones that are typically applied in dissolving porous media because of the clogging effect. Additionally, we propose a stochastic framework that upscales the coevolution of permeability and porosity across length scales. This framework enables the upscaling of clogging behavior to continuum-scale simulations based on statistical probability distributions of permeability–porosity variations.

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“…One of them is MRST (Matlab Reservoir Simulation Toolbox), a finite-volume based method, which has been successfully employed to simulate various subsurface multiphase flow processes, such as heat transport, oil recovery and NAPL removal (e.g. Lie et al, 2012;Lie, 2019;Parvin et al, 2020;Wang et al, 2022).…”

Section: Department Ofmentioning

confidence: 99%

Modeling reactive multi-component multi-phase flow for Geological Carbon Sequestration (GCS) with Matlab

Wang

Fernàndez-García

Saaltink

2023

Computers & Geosciences

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Continuum scale modelling of salt precipitation in the context of CO2 storage in saline aquifers with MRST compositional

Cited by 34 publications

References 45 publications

Probabilistic nucleation governs time, amount, and location of mineral precipitation and geometry evolution in the porous medium

Probabilistic nucleation governs time, amount, and location of mineral precipitation and geometry evolution in the porous medium

Mineral Precipitation and Geometry Alteration in Porous Structures: How to Upscale Variations in Permeability–Porosity Relationship?

Modeling reactive multi-component multi-phase flow for Geological Carbon Sequestration (GCS) with Matlab

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