Scaling and critical behavior of lattice and continuum porous media with different connectivity configurations

Soltani, Afshin; Sadeghnejad, Saeid

doi:10.1016/j.physa.2018.05.071

Cited by 12 publications

(2 citation statements)

References 42 publications

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“…2b. As the system gets larger, the transition becomes steeper, as expected in a firstorder transition case [53,56,59]. The steepness of this transition depends on the system size L, and scales as ∼ L 1/ν , where ν is a critical exponent of the correlation length.…”

Section: A Percolation Transitionmentioning

confidence: 68%

Fluid flow through packings of elastic shells

Gniewek

Hallatschek

2019

Phys. Rev. E

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Fluid transport in porous materials is commonly studied in geological samples (soil, sediments etc.) or idealized systems, but the fluid flow through compacted granular materials, consisting of substantially strained granules, remains relatively unexplored. As a step towards filling this gap, we study a model of liquid transport in packings of deformable elastic shells using Finite Element and Lattice-Boltzmann methods. We find that the fluid flow abruptly vanishes as the porosity of the material falls below a critical value, and the flow obstruction exhibits features of a percolation transition. We further show that the fluid flow can be captured by a simplified permeability model in which the complex porous material is replaced by a collection of disordered capillaries, which are distributed and shaped by the percolation transition. To that end, we numerically explore the divergence of hydraulic tortuosity τH and the decrease of a hydraulic radius R h as the percolation threshold is approached. We interpret our results in terms of scaling predictions derived from the percolation theory applied to random packings of spheres.

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Section: A Percolation Transitionmentioning

confidence: 68%

Fluid flow through packings of elastic shells

Gniewek

Hallatschek

2019

Phys. Rev. E

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“…This process can be reversed when the oil production of this well exceeds the oil-rate target by any reason, e.g., well stimulation, secondary recovery, or EOR scenarios. Furthermore, drilling the best location of injection and producing wells is a challenging task that can a ect the reservoir connectivity between wells [39][40][41][42][43][44]. In addition, a well or its connections might automatically be closed due to the violation of some other economic constraints.…”

Section: Materials and Methods 21 Statement Of The Problemmentioning

confidence: 99%

Simulation Optimization of Water Alternating Gas (WAG) Process under Operational Constraints: A Case Study in the Persian Gulf

2019

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The optimization of the e ciency of Water Alternating Gas (WAG) ooding projects can guarantee the success of these projects. Many operational constraints can indirectly a ect ooding e ciency. Their e ects are not normally considered during routine optimizations. The main aim of this study is to determine the in uence of these constraints (e.g., maximum water-cut, maximum Gas-Oil Ratio (GOR), and minimum Bottom Hole Pressure (BHP) during the WAG process). Implementing a reservoir simulator coupled with Simulating-Annealing (SA) enables us to discover the e ects of these constraints during simulation optimization. The developed optimizer is applied to a case study from an Iranian formation located in the Persian Gulf. The recovery factor of WAG ooding is compared with that of the conventional water ooding and gas injection. Moreover, the optimization of individual and simultaneous WAG parameters is analyzed. Results indicate that: (a) Operational constraints can not only alter the production mechanism but also directly a ect the ultimate recovery factor; (b) The recovery factor of simultaneous optimization of all WAG parameters is higher than that of individual parameter optimization; (c) Irrespective of the approach to parameter optimization, WAG ratio (or the volume fraction of injected water to gas) remains almost constant during all optimizations, showing the in uence of this parameter during WAG ooding scenarios.

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