An X-ray computed micro-tomography dataset for oil removal from carbonate porous media

Tannaz Pak, Nathaly Lopes Archilha, Iara Frangiotti Mantovani, Ian B. Butler

Research output: Contribution to journalArticleResearchpeer-review

58 Downloads (Pure)

Abstract

This study reveals the pore-scale details of oil mobilisation and recovery from a carbonate rock upon injection of aqueous nanoparticle (NP) suspensions. X-ray computed micro-tomography (μCT), which is a non-destructive imaging technique, was used to acquire a dataset which includes: (i) 3D images of the sample collected at the end of fluid injection steps, and (ii) 2D radiogram series collected during fluid injections. The latter allows monitoring fluid flow dynamics at time resolutions down to a few seconds using a laboratory-based μCT scanner. By making this dataset publicly available we enable (i) new image reconstruction algorithms to be tested on large images, (ii) further development of image segmentation algorithms based on machine learning, and (iii) new models for multi-phase fluid displacements in porous media to be evaluated using images of a dynamic process in a naturally occurring and complex material. This dataset is comprehensive in that it offers a series of images that were captured before/during/and after the immiscible fluid injections.
Original languageEnglish
Article number190004
Pages (from-to)190004
Number of pages9
JournalScientific data
Volume6
DOIs
Publication statusPublished - 29 Jan 2019

Fingerprint

Microtomography
Porous Media
Tomography
Porous materials
Carbonates
Injection
X rays
Fluids
Fluid
Immiscible Fluids
Series
Reconstruction Algorithm
Dynamic Process
3D Image
Image Reconstruction
Scanner
Image reconstruction
Image segmentation
Image Segmentation
Nanoparticles

Cite this

Pak, Tannaz ; Archilha, Nathaly Lopes ; Mantovani, Iara Frangiotti ; Butler, Ian B. / An X-ray computed micro-tomography dataset for oil removal from carbonate porous media. In: Scientific data. 2019 ; Vol. 6. pp. 190004.
@article{cc2c990084df4b55a0acda16ea15fad4,
title = "An X-ray computed micro-tomography dataset for oil removal from carbonate porous media",
abstract = "This study reveals the pore-scale details of oil mobilisation and recovery from a carbonate rock upon injection of aqueous nanoparticle (NP) suspensions. X-ray computed micro-tomography (μCT), which is a non-destructive imaging technique, was used to acquire a dataset which includes: (i) 3D images of the sample collected at the end of fluid injection steps, and (ii) 2D radiogram series collected during fluid injections. The latter allows monitoring fluid flow dynamics at time resolutions down to a few seconds using a laboratory-based μCT scanner. By making this dataset publicly available we enable (i) new image reconstruction algorithms to be tested on large images, (ii) further development of image segmentation algorithms based on machine learning, and (iii) new models for multi-phase fluid displacements in porous media to be evaluated using images of a dynamic process in a naturally occurring and complex material. This dataset is comprehensive in that it offers a series of images that were captured before/during/and after the immiscible fluid injections.",
author = "Tannaz Pak and Archilha, {Nathaly Lopes} and Mantovani, {Iara Frangiotti} and Butler, {Ian B.}",
year = "2019",
month = "1",
day = "29",
doi = "10.1038/sdata.2019.4",
language = "English",
volume = "6",
pages = "190004",
journal = "Scientific data",
issn = "2052-4463",
publisher = "Nature Publishing Group",

}

An X-ray computed micro-tomography dataset for oil removal from carbonate porous media. / Pak, Tannaz; Archilha, Nathaly Lopes ; Mantovani, Iara Frangiotti ; Butler, Ian B.

In: Scientific data, Vol. 6, 190004 , 29.01.2019, p. 190004.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - An X-ray computed micro-tomography dataset for oil removal from carbonate porous media

AU - Pak, Tannaz

AU - Archilha, Nathaly Lopes

AU - Mantovani, Iara Frangiotti

AU - Butler, Ian B.

PY - 2019/1/29

Y1 - 2019/1/29

N2 - This study reveals the pore-scale details of oil mobilisation and recovery from a carbonate rock upon injection of aqueous nanoparticle (NP) suspensions. X-ray computed micro-tomography (μCT), which is a non-destructive imaging technique, was used to acquire a dataset which includes: (i) 3D images of the sample collected at the end of fluid injection steps, and (ii) 2D radiogram series collected during fluid injections. The latter allows monitoring fluid flow dynamics at time resolutions down to a few seconds using a laboratory-based μCT scanner. By making this dataset publicly available we enable (i) new image reconstruction algorithms to be tested on large images, (ii) further development of image segmentation algorithms based on machine learning, and (iii) new models for multi-phase fluid displacements in porous media to be evaluated using images of a dynamic process in a naturally occurring and complex material. This dataset is comprehensive in that it offers a series of images that were captured before/during/and after the immiscible fluid injections.

AB - This study reveals the pore-scale details of oil mobilisation and recovery from a carbonate rock upon injection of aqueous nanoparticle (NP) suspensions. X-ray computed micro-tomography (μCT), which is a non-destructive imaging technique, was used to acquire a dataset which includes: (i) 3D images of the sample collected at the end of fluid injection steps, and (ii) 2D radiogram series collected during fluid injections. The latter allows monitoring fluid flow dynamics at time resolutions down to a few seconds using a laboratory-based μCT scanner. By making this dataset publicly available we enable (i) new image reconstruction algorithms to be tested on large images, (ii) further development of image segmentation algorithms based on machine learning, and (iii) new models for multi-phase fluid displacements in porous media to be evaluated using images of a dynamic process in a naturally occurring and complex material. This dataset is comprehensive in that it offers a series of images that were captured before/during/and after the immiscible fluid injections.

UR - http://www.scopus.com/inward/record.url?scp=85060643437&partnerID=8YFLogxK

U2 - 10.1038/sdata.2019.4

DO - 10.1038/sdata.2019.4

M3 - Article

VL - 6

SP - 190004

JO - Scientific data

JF - Scientific data

SN - 2052-4463

M1 - 190004

ER -