Network flow modeling via lattice-Boltzmann based channel conductance

Sholokhova, Yelena; Kim, Daesang; Lindquist, W. Brent

doi:10.1016/j.advwatres.2008.10.016

Cited by 45 publications

(30 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The present work also outlined how to convert this segmented image into a pore network by extracting the pertinent information such as connectivity, pore sizes, and throat sizes. This process of calculating network properties from the watershed image was by no means the final word on the matter [47,48,63], and many improvements could be made such as finding surface area [64] and perimeter more rigorously. The networks extracted using the SNOW algorithm were compared to several known materials (see Table II).…”

Section: Discussionmentioning

confidence: 99%

Versatile and efficient pore network extraction method using marker-based watershed segmentation

2017

View full text Add to dashboard Cite

Obtaining structural information from tomographic images of porous materials is a critical component of porous media research. Extracting pore networks is particularly valuable since it enables pore network modeling simulations which can be useful for a host of tasks from predicting transport properties to simulating performance of entire devices. This work reports an efficient algorithm for extracting networks using only standard image analysis techniques. The algorithm was applied to several standard porous materials ranging from sandstone to fibrous mats, and in all cases agreed very well with established or known values for pore and throat sizes, capillary pressure curves, and permeability. In the case of sandstone, the present algorithm was compared to the network obtained using the current state-of-the-art algorithm, and very good agreement was achieved. Most importantly, the network extracted from an image of fibrous media correctly predicted the anisotropic permeability tensor, demonstrating the critical ability to detect key structural features. The highly efficient algorithm allows extraction on fairly large images of 500 3 voxels in just over 200 s. The ability for one algorithm to match materials as varied as sandstone with 20% porosity and fibrous media with 75% porosity is a significant advancement. The source code for this algorithm is provided.

show abstract

Section: Discussionmentioning

confidence: 99%

Versatile and efficient pore network extraction method using marker-based watershed segmentation

2017

View full text Add to dashboard Cite

show abstract

“…The particular implementation used is based upon Patzek (2001); details of our implementation can be found in Sholokova et al (2009) where the model is referred to as NF-SRG.…”

Section: The Reactive Modelmentioning

confidence: 99%

Dependence of Pore-to-Core Up-scaled Reaction Rate on Flow Rate in Porous Media

Kim

Lindquist

2011

Transp Porous Med

View full text Add to dashboard Cite

Due to inherent heterogeneities in structure, mineral placement and fluid velocity in rock, bulk reaction rates realized during reactive flow through porous media may differ significantly from that predicted by laboratory-measured rate laws. In particular, rate laws determined in batch reactor experiments do not capture any of the flow dependence that will be experienced in the porous medium. Based on network flow model simulations of anorthite and kaolinite reactions in two sandstone pore networks under acidic conditions commensurate with CO 2 sequestration, we compute up-scaled reaction rates at the core scale and investigate the dependence of the observed reaction rates on flow rate. For the anorthite reaction which, under these acidic conditions is far from equilibrium and dominated by pH, we find a power law dependence of reaction rate on flow rate. For the kaolinite reaction, which is near equilibrium, a more complex dependence emerges, with the up-scaled rate tending to rapidly increasing net precipitation at low-flow rates, then reversing and tending toward net dissolution at high-flow rates.

show abstract

“…Others studies like Sholokhova et al 15 , Nabovati and Sousa 16 and Rahmati and Ashrafizaadeh 17 also applied the method for single phase flow while Pan et al 18 simulated two-phase flow. Kang et al 19 presented a review of LBM in the reactive flows through porous media.…”

Section: Introductionmentioning

confidence: 96%

Pore scale inertial flow simulations in 3‐D smooth and rough sphere packs using lattice Boltzmann method

Chukwudozie

Tyagi

2013

AIChE Journal

View full text Add to dashboard Cite

Pore-scale inertial flows in periodic body centered cubic (BCC) arrays of smooth and rough sphere packs were simulated using lattice Boltzmann method. Computed velocity fields were visualized and averaged to calculate macroscopic flow parameters characteristic of porous media such as permeability, tortuosity, and b factor as well as the transition Reynolds number values and compared well with established correlations. Furthermore, hemispherical depositions on the smooth spheres in the regular BCC array were used to calculate roughness induced changes in macroscopic flow parameters. As the next step toward simulating inertia dominated flow in natural porous media, simulations were validated for low Reynolds number flow in a three-dimensional (3-D) CT image of irregular pack of uniform diameter spheres. This work aims to define 3-D canonical studies for roughness induced inertial flows in porous media and to assess the capability of LBM for simultaneous prediction of absolute permeability and b factor. V C 2013 American Institute of Chemical Engineers AIChE J, 59: [4858][4859][4860][4861][4862][4863][4864][4865][4866][4867][4868][4869][4870] 2013

show abstract

Network flow modeling via lattice-Boltzmann based channel conductance

Cited by 45 publications

References 34 publications

Versatile and efficient pore network extraction method using marker-based watershed segmentation

Versatile and efficient pore network extraction method using marker-based watershed segmentation

Dependence of Pore-to-Core Up-scaled Reaction Rate on Flow Rate in Porous Media

Pore scale inertial flow simulations in 3‐D smooth and rough sphere packs using lattice Boltzmann method

Contact Info

Product

Resources

About