2022
DOI: 10.1016/j.jcis.2022.02.127
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Anomalous transport of colloids in heterogeneous porous media: A multi-scale statistical theory

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Cited by 16 publications
(9 citation statements)
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“…A sphere is the most straightforward 3D representation of a single broken rock mass, and choosing a real geometry requires a higher computational cost. At larger scales, when considering the distribution of particles over a specific range, combinations of non-homogeneous geometries [44] or spheres [31] with fixed, regular [45], or random distribution in the model [29,30]. For computational efficiency, randomly distributed spheres are used in this paper to represent the broken rock mass, which is considered an isotropic porous medium, as shown in Figure 3.…”
Section: Model Simplificationmentioning
confidence: 99%
“…A sphere is the most straightforward 3D representation of a single broken rock mass, and choosing a real geometry requires a higher computational cost. At larger scales, when considering the distribution of particles over a specific range, combinations of non-homogeneous geometries [44] or spheres [31] with fixed, regular [45], or random distribution in the model [29,30]. For computational efficiency, randomly distributed spheres are used in this paper to represent the broken rock mass, which is considered an isotropic porous medium, as shown in Figure 3.…”
Section: Model Simplificationmentioning
confidence: 99%
“…Once quantified, these properties could be included in reservoir simulators to predict and derisk the future development of a petroleum reservoir. Some of the key physical phenomena that need to be quantified include, but are not limited to, the following: (1) As the brine composition changes upon dissolution of both CO Potential solution: To solve this multiscale problem, it will be necessary to quantify the effective particle−particle interactions as a function of system conditions, 78,79 the mechanical properties of the particles themselves, including elastic deformation, the effect of fluid flow, the transport of the particles through the matrix, 80 their agglomeration into aggregates, 81 their deposition, 82 and eventually the effect of particle agglomeration on the permeability of the host materials.…”
Section: ■ Some Research Opportunitiesmentioning
confidence: 99%
“…In EL models, the base fluid is described by the Eulerian approach and NPs are simulated by a Lagrangian approach that can be used for tracking the trajectory of particles. The Euler–Lagrange model was developed for simulating fine particle suspension in liquids: sedimentation, particle-induced stratification, and particle-laden turbulence. Additionally, the Euler–Lagrange model was used to investigate the influence of Brownian and gravitational forces on the velocity and transport of induced CuO NPs in oil phase . However, with the increase of injecting particle number, tracking the trajectory of every particle becomes intractable …”
Section: Introductionmentioning
confidence: 99%