An automated simple algorithm for realistic pore network extraction from micro-tomography images

Rabbani, Arash; Jamshidi, Saeid; Salehi, Saeed

doi:10.1016/j.petrol.2014.08.020

Cited by 265 publications

(148 citation statements)

References 17 publications

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“…For this purpose, it is advantageous to run some sort of filter on the distance map to smooth the image and remove or at least minimize the occurrence of such plateaus. Rabbani et al [34] used a median filter for this purpose, but in the present work it was found that a Gaussian blur filter gave much better results since it literally smoothed ridges by incorporating information about the local neighborhood. The median filter is actually recommended when preserving edges is desired, which is not the case here.…”

Section: Preparing Imagementioning

confidence: 63%

“…The present algorithm was built upon the idea of using the watershed segmentation of the distance transform proposed by Thompson et al [32] and Sheppard et al [33], and recently revisited by Rabbani et al [34] These works were developed for sandstones, and are not directly applicable to other materials because they do not account for artifacts that arise in high-porosity images with minimal throat constrictions, namely, the presence of spurious peaks in the distance transform. These lead to a highly oversegmented result with many unrealistically small and misshapen pores.…”

Section: Discussionmentioning

confidence: 99%

“…It is an improvement on the recently reported algorithm of Rabbani et al [34], whose focus was on sandstones; it was not directly applicable to high-porosity media. The main issue is that for high-porosity materials, the distance transform contains not only peaks at each pore center, but also many ridges and plateaus that appear as local maxima, which leads to a highly oversegmented image.…”

Section: Introductionmentioning

confidence: 99%

“…Rounding out the methods is the watershed segmentation of the pore space, that was originally investigated by Thompson et al. [32] and Sheppard et al [33] over a decade ago, but has received surprisingly little attention until recently [34,35]. The common thread running through the existing network extraction algorithms is that they are essentially optimized for rock and soil, due to the importance of these media in oil recovery and aquifer management.…”

Section: Introductionmentioning

confidence: 99%

“…The main issue is that for high-porosity materials, the distance transform contains not only peaks at each pore center, but also many ridges and plateaus that appear as local maxima, which leads to a highly oversegmented image. Rabbani et al [34] did not completely account for these artifacts, so the present algorithm includes steps to manage the spurious local maxima that give rise to the oversegmentation. The result is an algorithm that actually applies to both classes of materials.…”

Section: Introductionmentioning

confidence: 99%

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

2017

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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.

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Section: Preparing Imagementioning

confidence: 63%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2017

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Photoannealing of Microtissues Creates High‐Density Capillary Network Containing Living Matter in a Volumetric‐Independent Manner

Schot,

Becker,

Paggi

et al. 2024

Advanced Materials

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The vascular tree is crucial for the survival and function of large living tissues. Despite breakthroughs in 3D bioprinting to endow engineered tissues with large blood vessels, there is currently no approach to engineer high‐density capillary networks into living tissues in a scalable manner. We here present photo‐annealing of living microtissues (PALM) as a scalable strategy to engineer capillary‐rich tissues. Specifically, in‐air microfluidics was used to produce living microtissues composed of cell‐laden microgels in ultra‐high throughput, which could be photo‐annealed into a monolithic living matter. Annealed microtissues inherently give rise to an open and interconnected pore network within the resulting living matter. Interestingly, utilizing soft microgels enables microgel deformation, which leads to the uniform formation of capillary‐sized pores. Importantly, the ultra‐high throughput nature underlying the microtissue formation uniquely facilitates scalable production of living tissues of clinically relevant sizes (>1 cm3) with an integrated high‐density capillary network. In short, PALM generates monolithic, microporous, modular tissues that meet the previously unsolved need for large engineered tissues containing high‐density vascular networks, which is anticipated to advance the fields of engineered organs, regenerative medicine, and drug screening.This article is protected by copyright. All rights reserved

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Scalable, Patternable Glass‐Infiltrated Ceramic Radiative Coolers for Energy‐Saving Architectural Applications

Jeon

Kim

et al. 2023

Advanced Science

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A huge concern on global climate/energy crises has triggered intense development of radiative coolers (RCs), which are promising green‐cooling technologies. The continuous efforts on RCs have fast‐tracked notable energy‐savings by minimizing solar absorption and maximizing thermal emission. Recently, in addition to spectral optimization, ceramic‐based thermally insulative RCs are reported to improve thermoregulation by suppressing heat gain from the surroundings. However, a high temperature co‐firing process of ceramic‐based thick film inevitably results in a large mismatch of structural parameters between designed and fabricated components, thereby breaking spectral optimization. Here, this article proposes a scalable, non‐shrinkable, patternable, and thermally insulative ceramic RC (SNPT‐RC) using a roll‐to‐roll process, which can fill a vital niche in the field of radiative cooling. A stand‐alone SNPT‐RC exhibits excellent thermal insulation (≈0.251 W m−1 K−1) with flame‐resistivity and high solar reflectance/long‐wave emissivity (≈96% and 92%, respectively). Alternate stacks of intermediate porous alumina/borosilicate (Al2O3‐BS) layers not only result in outstanding thermal and spectral characteristics, causing excellent sub‐ambient cooling (i.e., 7.05 °C cooling), but also non‐shrinkable feature. Moreover, a perforated SNPT‐RC demonstrates its versatility as a breathable radiative cooling shade and as a semi‐transparent window, making it a highly promising technology for practical deployment in energy‐saving architecture.

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An automated simple algorithm for realistic pore network extraction from micro-tomography images

Cited by 265 publications

References 17 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

Photoannealing of Microtissues Creates High‐Density Capillary Network Containing Living Matter in a Volumetric‐Independent Manner

Scalable, Patternable Glass‐Infiltrated Ceramic Radiative Coolers for Energy‐Saving Architectural Applications

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