Timeresolved synchrotron X-ray micro-tomography datasets of drainage and imbibition in carbonate rocks
File(s)Singh et al Scientific Data 2018.pdf (3.45 MB)
Published version
Author(s)
Type
Journal Article
Abstract
Multiphase flow in permeable media is a complex pore-scale phenomenon, which is important in many natural and industrial processes. To understand the pore-scale dynamics of multiphase flow, we acquired time-series synchrotron X-ray micro-tomographic data at a voxel-resolution of 3.28 μm and time-resolution of 38 s during drainage and imbibition in a carbonate rock, under a capillary-dominated flow regime at elevated pressure. The time-series data library contains 496 tomographic images (gray-scale and segmented) for the complete drainage process, and 416 tomographic images (gray-scale and segmented) for the complete imbibition process. These datasets have been uploaded on the publicly accessible British Geological Survey repository, with the objective that the time-series information can be used by other groups to validate pore-scale displacement models such as direct simulations, pore-network and neural network models, as well as to investigate flow mechanisms related to the displacement and trapping of the non-wetting phase in the pore space. These datasets can also be used for improving segmentation algorithms for tomographic data with limited projections.
Date Issued
2018-12-11
Date Acceptance
2018-10-10
Citation
Scientific Data, 2018, 5
ISSN
2052-4463
Publisher
Nature Research (part of Springer Nature)
Journal / Book Title
Scientific Data
Volume
5
Copyright Statement
© The Author(s) 2018. This article is licensed under a Creative Commons Attribution 4.0 Interna-
tional License, which permits use, sharing, adaptation, distribution and reproduction in any
medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a
link to the Creative Commons license, and indicate if changes were made. The images or other third party
material in this article are included in the article
’
s Creative Commons license, unless indicated otherwise in
a credit line to the material. If material is not included in the article
’
s Creative Commons license and your
intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain
permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.
org/licenses/by/4.0/
tional License, which permits use, sharing, adaptation, distribution and reproduction in any
medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a
link to the Creative Commons license, and indicate if changes were made. The images or other third party
material in this article are included in the article
’
s Creative Commons license, unless indicated otherwise in
a credit line to the material. If material is not included in the article
’
s Creative Commons license and your
intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain
permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.
org/licenses/by/4.0/
Sponsor
Qatar Shell Research and Technology Center QSTP LLC
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000452900600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
490000724
Subjects
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
ARTIFICIAL NEURAL-NETWORK
2-PHASE FLOW
POROUS-MEDIA
INTERFACIAL-TENSION
MULTIPHASE FLOW
FREEZE-THAW
REMOBILIZATION
DISPLACEMENT
MECHANISMS
CURVATURE
Publication Status
Published
Article Number
ARTN 180265