Developing a virtual materials laboratory

Sakellariou, Arthur; Arns, Christoph H.; Sheppard, Adrian; Sok, Robert; Averdunk, Holger; Limaye, Ajay; Jones, Anthony; Senden, Tim J.; Knackstedt, Mark

doi:10.1016/s1369-7021(07)70307-3

Cited by 67 publications

(31 citation statements)

References 87 publications

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“…After reconstruction, the tomogram data, which are presented in gray levels corresponding to the density and composition of the alumina material, were treated with image enhancing filters to reduce noise and blur [23,24]. A segmentation method known as converging active contours [24] was used to categorize the 3D data as either solid or void.…”

Section: X-ray L-ctmentioning

confidence: 99%

Permeability, pore connectivity and critical pore throat control of expandable polymeric sphere templated macroporous alumina

et al. 2011

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We have regulated the permeability in macroporous alumina materials by manipulating the connectivity of the pore phase and the sizes of the smallest constrictions between connected pores. Templating with particle-coated expandable polymeric spheres (EPS) significantly increased the fraction of isolated pore clusters, and reduced both the sizes and the number of connections with neighboring pores, as determined by three-dimensional evaluation with X-ray micro-computed tomography. The stable particle coating, applied onto the EPS surfaces using polyelectrolyte multilayers, reduced the volume expansion and the coalescence of the EPS at elevated temperatures, which reduced the simulated permeability by as much as two orders of magnitude compared to templating with uncoated EPS in materials of similar porosities. We show that the Katz-Thompson model accurately predicts the permeability for the macroporous alumina materials with porosities of 46-76%. This suggests that the permeability to fluid flow in these materials is governed by the smallest constrictions between connected pores: the critical pore throat diameter.

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Section: X-ray L-ctmentioning

confidence: 99%

Permeability, pore connectivity and critical pore throat control of expandable polymeric sphere templated macroporous alumina

et al. 2011

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“…With developments of advanced imaging system and computation ability, DRA has been applied to study varying rock properties such as elastic properties [7,8], relative permeability [9][10][11] and to varying types of rocks such as carbonates [12][13][14] and shales [15][16][17]. It is accepted that DRA is a necessary complement of lab experiments, and it may be referred as virtual laboratory/experiments [18,19].…”

Section: Introductionmentioning

confidence: 99%

Critical Resolution and Sample Size of Digital Rock Analysis for Unconventional Reservoirs

Liu

Wang

2018

Energies

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Digital rock analysis (DRA) has exhibited strong ability and significant potential to help people to image geological microstructures and understand transport mechanisms in rocks underground, especially for unconventional reservoirs like tight sandstone and shale. More and more new technologies have been developed for higher resolutions, which always come with higher expense. However, the balance between cost (money and time) and benefit has never been figured out quantitatively for these studies. As the cost and benefit are directly related to image resolution and size, this work is focusing on whether there is a critical resolution and sample size when using DRA for accurate enough predictions of rock properties. By numerically changing the digital resolutions of the reconstructed structures from high-resolution micro-computed tomography (CT) scanned tight rock samples, it is found that the permeability predictions get stable when the resolution is higher than a cut-off resolution (COR). Different from physical rocks, the representative element volume (REV) of a digital rock is influenced by the digital resolution. The results of pore-scale modeling indicate that once sample size is larger than the critical sample size and the scan resolution higher than the critical resolution for a given rock, the predicted rock properties by DRA are accurate and representative.

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“…3D X-ray microtomographic imaging and subsequent numerical determination of petrophysical properties is nowadays applied by several groups (Dvorkin et al, 2008;Malinouskaya et al, 2008;Øren et al, 2007;Sakellariou et al, 2007). Tomographic imaging can be routinely performed over three orders of magnitude in length scale with correspondingly high data fidelity.…”

Section: Digital Rock Physics Workflowmentioning

confidence: 99%

“…Tomographic imaging can be routinely performed over three orders of magnitude in length scale with correspondingly high data fidelity. This capability, coupled with the development of advanced computational algorithms for image interpretation, three-dimensional visualization, and structural characterization and computation of physical properties based on image data, allows for a numerical laboratory approach to study real heterogeneous materials (Sakellariou et al, 2007). A typical workflow is illustrated in Fig.…”

Section: Digital Rock Physics Workflowmentioning

confidence: 99%