Design considerations for dynamic fluid flow in porous media experiments using X-ray computed micro tomography – A review

Pak, Tannaz; Archilha, Nathaly Lopes; Berg, Steffen; Butler, Ian B.

doi:10.1016/j.tmater.2023.100017

Cited by 4 publications

(3 citation statements)

References 149 publications

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“…In addition, we also assume that steady-state water saturation is experimentally available. For instance, the fluid saturation in porous media can be estimated via CT scan, where one can analyze the X-ray attenuation of the porous material and the fluids within it, allowing for non-invasive quantification of their respective volumes and saturation levels, as detailed in Pak et al (2023).…”

Section: Mathematical Modeling Of Foam Flowmentioning

confidence: 99%

On the Identifiability of Relative Permeability and Foam Displacement Parameters in Porous Media Flow

Ribeiro,

Miranda,

Rocha

et al. 2024

Water Resources Research

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This study focuses on analyzing parameter identifiability in foam displacement models during two‐phase flow in porous media, with a particular emphasis on calibrating relative permeability and foam parameters. We employ the profile likelihood technique and Bayesian inference for identifiability analysis. Successful parameter estimation is demonstrated through steady‐state experiments for relative permeability and foam quality scan experiments when both types of experimental data are available and obtained from the same core sample. However, non‐identifiability issues arise when only foam quality scan data is accessible. Additionally, we investigated a standard practice that fits foam parameters using foam quality scan data obtained from one core sample and permeability values obtained from another core sample, but from the same reservoir. Our results show that this practice is ineffective in correctly estimating foam parameters, leading to misestimation of crucial foam model parameters. These findings underscore the importance of a mandatory relative permeability experiment on a representative core sample from the reservoir for accurate characterization of foam parameters. Without it, misestimation of foam model parameters hinders the proper understanding of foam effects on sweeping porous media.

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Section: Mathematical Modeling Of Foam Flowmentioning

confidence: 99%

On the Identifiability of Relative Permeability and Foam Displacement Parameters in Porous Media Flow

Ribeiro,

Miranda,

Rocha

et al. 2024

Water Resources Research

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“…XCT was efficient in predicting solute transport parameters. Recently, Pak et al [78] have presented an interesting approach to the technical challenges of performing of XCTbased fluid flow experiments. The authors also discussed the high spatial and temporal resolution that can be achieved with synchrotron imaging sources.…”

Section: Perspectives For Studies Related To Movement Of Water and So...mentioning

confidence: 99%

Movement of Water and Solutes in Agricultural Soils

Nascimento Pessoa,

Martineli Batista,

Nogueira de Sousa

et al. 2024

Agricultural Sciences

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Intensive agricultural systems have increased in recent decades. These systems usually provide high soil disturbance that promotes negative consequences on soil physical, chemical, and biological processes. Soil compaction degrades soil structure causing changes in soil porosity, pore size distribution, and pore space geometry. Pore space dynamics affects the movement of water and the transport of solutes in soils because both are highly dependent on the properties of this space. Agricultural activities, which include the use of mechanization, soil fertilizers, herbicides, and pesticides with the aim of creating a favorable condition for plant growth, can favor the soil erosion processes and increase the transport of contaminants to groundwater. Models for predicting water movement and transport of solute in soils are important to understand different scenarios of groundwater contamination and to improve appropriate soil management. Therefore, negative consequences and environmental impacts related to agricultural practices should be studied.

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“…Digital rock analysis techniques are now used extensively to decode the complex pore structures inherent of carbonate rocks. They typically involve X-ray computed microtomography (μCT) (Blunt, 2017;Bultreys et al, 2015;Godoy et al, 2019;Suhrer et al, 2020), focused ion beam scanning electron microscopy (Devarapalli et al, 2017;Dvorkin et al, 2011), and/or synchrotron-light based imaging (Ferreira et al, 2019;Pak et al, 2023). These studies aim to navigate the trade-off between the volume of interest (VOI) pertaining to the volumetric dimensions of a rock sample and the resolution, which is tied to the smallest visible structures within the rock images (Carrillo et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Modeling sub‐resolution porosity of a heterogeneous carbonate rock sample

Godoy,

Pontedeiro,

Barros

et al. 2024

Vadose Zone Journal

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Accurately estimating the petrophysical properties of heterogeneous carbonate rocks across various scales poses significant challenges, particularly within the context of water and hydrocarbon reservoir studies. Digital rock analysis techniques, such as X‐ray computed microtomography and synchrotron‐light‐based imaging, are increasingly employed to study the complex pore structure of carbonate rocks. However, several technical limitations remain, notably the need to balance the volume of interest with the maximum achievable resolution, which is influenced by geometric properties of the source–detector distance in each apparatus. Typically, higher resolutions necessitate smaller sample volumes, leading to a portion of the pore structure (the sub‐resolution or unresolved porosity), that remain undetected. In this study, X‐ray microtomography is used to infer the fluid flow properties of a carbonate rock sample having a substantial fraction of porosity below the imaging resolution. The existence of unresolved porosity is verified by comparisons with nuclear magnetic resonance (NMR) data. We introduce a methodology for modeling the sub‐resolution pore structure within images by accounting for unresolved pore bodies and pore throats derived from a predetermined distribution of pore throat radii. The process identifies preferential pathways between visible pores using the shortest distance and establishes connections between these pores by allocating pore bodies and throats along these paths, while ensuring compatibility with the NMR measurements. Single‐phase flow simulations are conducted on the full volume of a selected heterogeneous rock sample by using the developed pore network model. Results are then compared with petrophysical data obtained from laboratory measurements.

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Design considerations for dynamic fluid flow in porous media experiments using X-ray computed micro tomography – A review

Cited by 4 publications

References 149 publications

On the Identifiability of Relative Permeability and Foam Displacement Parameters in Porous Media Flow

On the Identifiability of Relative Permeability and Foam Displacement Parameters in Porous Media Flow

Movement of Water and Solutes in Agricultural Soils

Modeling sub‐resolution porosity of a heterogeneous carbonate rock sample

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