Multiscale pore‐network representation of heterogeneous carbonate rocks. Issue 7 (16th July 2016)
- Record Type:
- Journal Article
- Title:
- Multiscale pore‐network representation of heterogeneous carbonate rocks. Issue 7 (16th July 2016)
- Main Title:
- Multiscale pore‐network representation of heterogeneous carbonate rocks
- Authors:
- Pak, Tannaz
Butler, Ian B.
Geiger, Sebastian
van Dijke, Marinus I.J.
Jiang, Zeyun
Surmas, Rodrigo - Abstract:
- Abstract: A multiscale 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) 3‐D images captured by X‐ray computed microtomography and (ii) pore‐network flow simulations. To capture the multiscale 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 multiscale 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. Key Points: This work investigates the multiscale porosity of a carbonate rock We compare simulated andAbstract: A multiscale 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) 3‐D images captured by X‐ray computed microtomography and (ii) pore‐network flow simulations. To capture the multiscale 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 multiscale 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. Key Points: This work investigates the multiscale porosity of a carbonate rock We compare simulated and laboratory measured capillary‐pressure curves A workflow to select number and length‐scales of multiscale networks is presented … (more)
- Is Part Of:
- Water resources research. Volume 52:Issue 7(2016:Jul.)
- Journal:
- Water resources research
- Issue:
- Volume 52:Issue 7(2016:Jul.)
- Issue Display:
- Volume 52, Issue 7 (2016)
- Year:
- 2016
- Volume:
- 52
- Issue:
- 7
- Issue Sort Value:
- 2016-0052-0007-0000
- Page Start:
- 5433
- Page End:
- 5441
- Publication Date:
- 2016-07-16
- Subjects:
- carbonate rocks -- multiscale pore‐network models -- X‐ray computed microtomography imaging
Hydrology -- Periodicals
333.91 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1944-7973 ↗
http://www.agu.org/pubs/current/wr/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/2016WR018719 ↗
- Languages:
- English
- ISSNs:
- 0043-1397
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9275.150000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8598.xml