Multi-scale Pore-network Representation of Heterogeneous Carbonate Rocks

Hdl Handle:
http://hdl.handle.net/10149/614548
Title:
Multi-scale Pore-network Representation of Heterogeneous Carbonate Rocks
Authors:
Pak, T. (Tannaz) ( 0000-0001-7635-9333 ) ; Butler, I. B. (Ian); Geiger, S. (Sebastian); van Dijke, M. I. J. (Marinus); Jiang, Z. (Zeyun); Surmas, R. (Rodrigo)
Affiliation:
Teesside University. Technology Futures Institute
Citation:
Pak, T., Butler, I. B., Geiger, S., van Dijke, M. I. J., Jiang, Z., Surmas, R. (2016) 'Multi-scale Pore-network Representation of Heterogeneous Carbonate Rocks' Water Resources Research; Online first 16 Jul 2016
Publisher:
Wiley
Journal:
Water Resources Research
Issue Date:
16-Jul-2016
URI:
http://hdl.handle.net/10149/614548
DOI:
10.1002/2016WR018719
Abstract:
A multi-scale network integration approach introduced by Jiang et al. [2013] is used to generate a representative pore-network for a carbonate rock with a pore-size distribution across several orders of magnitude. We predict the macroscopic flow parameters of the rock utilising i) 3D images captured by X-ray computed micro-tomography and ii) pore-network flow simulations. To capture the multi-scale pore-size distribution of the rock we imaged four different rock samples at different resolutions and integrated the data to produce a pore network model that combines information at several length-scales that cannot be recovered from a single tomographic image. A workflow for selection of the number and length-scale of the required input networks for the network integration process, as well as fine tuning the model parameters is presented. Mercury injection capillary-pressure data were used to evaluate independently the multi-scale networks. We explore single-scale, two-scale, and three-scale network models and discuss their representativeness by comparing simulated capillary-pressure versus saturation curves with laboratory measurements. We demonstrate that for carbonate rocks with wide pore-size distributions, it may be required to integrate networks extracted from two or three discrete tomographic data sets in order to simulate macroscopic flow parameters.
Type:
Article
Language:
en
ISSN:
0043-1397
EISSN:
1944-7973
Rights:
Author can archive post-print (ie final draft post-refereeing). Publisher's version/PDF must be used 6 months after publication. For full details see http://www.sherpa.ac.uk/romeo/issn/0043-1397/ [Accessed: 24/06/2016]

Full metadata record

DC FieldValue Language
dc.contributor.authorPak, T. (Tannaz)en
dc.contributor.authorButler, I. B. (Ian)en
dc.contributor.authorGeiger, S. (Sebastian)en
dc.contributor.authorvan Dijke, M. I. J. (Marinus)en
dc.contributor.authorJiang, Z. (Zeyun)en
dc.contributor.authorSurmas, R. (Rodrigo)en
dc.date.accessioned2016-06-24T10:19:10Z-
dc.date.available2016-06-24T10:19:10Z-
dc.date.issued2016-07-16-
dc.identifier.citationWater Resources Research; Online first 16 Jul 2016en
dc.identifier.issn0043-1397-
dc.identifier.doi10.1002/2016WR018719-
dc.identifier.urihttp://hdl.handle.net/10149/614548-
dc.description.abstractA multi-scale network integration approach introduced by Jiang et al. [2013] is used to generate a representative pore-network for a carbonate rock with a pore-size distribution across several orders of magnitude. We predict the macroscopic flow parameters of the rock utilising i) 3D images captured by X-ray computed micro-tomography and ii) pore-network flow simulations. To capture the multi-scale pore-size distribution of the rock we imaged four different rock samples at different resolutions and integrated the data to produce a pore network model that combines information at several length-scales that cannot be recovered from a single tomographic image. A workflow for selection of the number and length-scale of the required input networks for the network integration process, as well as fine tuning the model parameters is presented. Mercury injection capillary-pressure data were used to evaluate independently the multi-scale networks. We explore single-scale, two-scale, and three-scale network models and discuss their representativeness by comparing simulated capillary-pressure versus saturation curves with laboratory measurements. We demonstrate that for carbonate rocks with wide pore-size distributions, it may be required to integrate networks extracted from two or three discrete tomographic data sets in order to simulate macroscopic flow parameters.en
dc.language.isoenen
dc.publisherWileyen
dc.rightsAuthor can archive post-print (ie final draft post-refereeing). Publisher's version/PDF must be used 6 months after publication. For full details see http://www.sherpa.ac.uk/romeo/issn/0043-1397/ [Accessed: 24/06/2016]en
dc.titleMulti-scale Pore-network Representation of Heterogeneous Carbonate Rocksen
dc.typeArticleen
dc.identifier.eissn1944-7973-
dc.contributor.departmentTeesside University. Technology Futures Instituteen
dc.identifier.journalWater Resources Researchen
or.citation.harvardPak, T., Butler, I. B., Geiger, S., van Dijke, M. I. J., Jiang, Z., Surmas, R. (2016) 'Multi-scale Pore-network Representation of Heterogeneous Carbonate Rocks' Water Resources Research; Online first 16 Jul 2016-
dc.eprint.versionPost-printen
dc.embargononeen
dc.date.accepted2016-06-27-
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