Prediction of empirical properties using direct pore-scale simulation of straining through 3D microtomography images of porous media

Computed Tomography Scanning to Understand Micro-to-Macro Controls on Multiphase Flow during Geologic Carbon Storage; NETL-TRS-3-2017; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2017; p 24.

“…Extracted pore geometries can also be utilized in modelling efforts (Blunt et al, 2013) and for validation of theoretical microscale physical relationships such as those described for capillary pressure, saturation, and interfacial area by Porter et al (2010). Continued improvements to network flow and filtration models also require increasingly accurate and detailed representations of pore geometries, such as those produced by microtomographic scanners (Mirabolghasemi et al, 2015;Prodanović et al, 2007). In the NETL CT scanner laboratory, Hassler style core holders permit the simulation of reservoir pressure and geochemical conditions on all the scanners, as well as active fluid flow.…”

“…Since GCS target formations can be up to several hundred meters thick, finding representative temperature and pressure conditions also presents a challenge. The size of a representative elementary volume (REV) may depend not only on the sample heterogeneity, but also on the process being studied (Mirabolghasemi et al, 2015). A REV is the minimum volume of a heterogenous medium (e.g.…”

Exact Upscaling for Transport of Size‐Distributed Colloids

“…The microscale (pore‐scale) mathematical models include trajectory analysis (Payatakes et al, ), numerical solutions of Navier‐Stokes equations at the pore scale and predicting the filtration coefficient λ as a function of microparameters (Bradford, Torkzaban, & Wiegmann, ; Tufenkji & Elimelech, ), random‐walk modeling using the Master equation (Boccardo, Sethi, & Marchisio, ; Boccardo, Sokolov, & Paster, ; Paster et al, ; Shapiro, ; Shapiro & Yuan, ; Yuan & Shapiro, ), 3‐D micromodeling on pore scale (Bianco et al, ; Bradford, Torkzaban, & Wiegmann, ; Mirabolghasemi et al, ), Boltzmann's equation (Shapiro & Wesselingh, ), and population balance modeling (Boccardo, Sethi, & Marchisio, ; Boccardo, Sokolov, & Paster, ). The population balance models, proposed by Sharma and Yortsos (, ), account for particle and pore size distributions, straining and attachment capture mechanisms, pore connectivity, and permeability damage.…”

Improving the design of depth filters: A model‐based method using optimal control theory

“…Kandra et al detected a similar inhomogeneous deposit in storm water filters. Mirabolghasemi et al conducted microscale simulations using real porous media geometries obtained by tomography and found the strongest reduction in porosity due to particle deposition at the fluid inlet.…”

“…Therefore, computation times of the order of seconds are desirable. For that reason, we employ a one‐dimensional continuum method to simulate depth filtration instead of the now often‐used three‐dimensional (3D) pore‐scale models which usually take hours to simulate. Due to the extensive literature on continuum treatment of depth filtration, we refer to pertinent summaries of the topic .…”