Computational challenges in the analyses of petrophysics using microtomography and upscaling: A review. (April 2016)
- Record Type:
- Journal Article
- Title:
- Computational challenges in the analyses of petrophysics using microtomography and upscaling: A review. (April 2016)
- Main Title:
- Computational challenges in the analyses of petrophysics using microtomography and upscaling: A review
- Authors:
- Liu, Jie
Pereira, Gerald G.
Liu, Qingbin
Regenauer-Lieb, Klaus - Abstract:
- Abstract: Microtomography provides detailed 3D internal structures of materials in micro- to tens of nano-meter resolution and is quickly turning into a new technology for studying petrophysical properties of rocks. An important step is the upscaling of these properties as micron or sub-micron resolution can only be achieved on the sample-scale of millimeters or even less than a millimeter. We have developed a computational workflow for the analysis of microstructures including the upscaling of material properties. Computations of properties are first performed using conventional material science simulations at micro to nano-scale. The subsequent upscaling of these properties is done by a novel renormalization procedure based on percolation theory. In this paper we discuss the computational challenges arising from the workflow, which include: 1) characterization of microtomography for extremely large data sets; 2) computational fluid dynamics simulations at pore-scale for permeability estimation; 3) solid mechanical computations at pore-scale for estimating elasto-plastic properties; 4) Extracting critical exponents from derivative models for scaling laws. We conclude that significant progress in each of these challenges is necessary to transform microtomography from the current research problem into a robust computational big data tool for multi-scale scientific and engineering problems. Highlights: A workflow for the analyses of microstructures and upscaling. ComputationalAbstract: Microtomography provides detailed 3D internal structures of materials in micro- to tens of nano-meter resolution and is quickly turning into a new technology for studying petrophysical properties of rocks. An important step is the upscaling of these properties as micron or sub-micron resolution can only be achieved on the sample-scale of millimeters or even less than a millimeter. We have developed a computational workflow for the analysis of microstructures including the upscaling of material properties. Computations of properties are first performed using conventional material science simulations at micro to nano-scale. The subsequent upscaling of these properties is done by a novel renormalization procedure based on percolation theory. In this paper we discuss the computational challenges arising from the workflow, which include: 1) characterization of microtomography for extremely large data sets; 2) computational fluid dynamics simulations at pore-scale for permeability estimation; 3) solid mechanical computations at pore-scale for estimating elasto-plastic properties; 4) Extracting critical exponents from derivative models for scaling laws. We conclude that significant progress in each of these challenges is necessary to transform microtomography from the current research problem into a robust computational big data tool for multi-scale scientific and engineering problems. Highlights: A workflow for the analyses of microstructures and upscaling. Computational challenges related to the workflow are analysed. Solutions for some problems and tips to avoid trouble are provided. The sources code of characterising microstructures is released. … (more)
- Is Part Of:
- Computers & geosciences. Volume 89(2016)
- Journal:
- Computers & geosciences
- Issue:
- Volume 89(2016)
- Issue Display:
- Volume 89, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 89
- Issue:
- 2016
- Issue Sort Value:
- 2016-0089-2016-0000
- Page Start:
- 107
- Page End:
- 117
- Publication Date:
- 2016-04
- Subjects:
- Microtomography -- Petrophysics -- Upscaling -- Computations
Environmental policy -- Periodicals
550.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00983004 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cageo.2016.01.014 ↗
- Languages:
- English
- ISSNs:
- 0098-3004
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.695000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1614.xml