Analyses of representative elementary volume for coal using X-ray μ-CT and FIB-SEM and its application in permeability predication model. (15th October 2019)
- Record Type:
- Journal Article
- Title:
- Analyses of representative elementary volume for coal using X-ray μ-CT and FIB-SEM and its application in permeability predication model. (15th October 2019)
- Main Title:
- Analyses of representative elementary volume for coal using X-ray μ-CT and FIB-SEM and its application in permeability predication model
- Authors:
- Wu, Hao
Yao, Yanbin
Zhou, Yingfang
Qiu, Feng - Abstract:
- Highlights: Accurate pore information from FIB-SEM and μ-CT can be used for multiscale analysis. Fractal dimension based representative elemental volume (REV) exists for coal. Relationship between fractal dimension-based REV and porosity-based REV can be classified as four cases. Abstract: The representative elemental volume (REV) study provides a bridge between macro and micro properties' research, which is critical for understanding and predicting the heterogeneous properties of a porous media. Permeability, one of the essential properties, dominates the capability of fluid flow in porous media, which is scale dependent and thus one of the most rationale way to predict macro scale permeability is to calculate the permeability at REV. Porosity is the most common parameter to determine REV, however, the porosity based REV works less satisfactory for complex pore system. In this work, we determined the REV based on fractal dimension, which is a fundamental parameter to characterize the complex pore network, and then the relation between fractal dimension and sample size was investigated extensively. We then determined and compared the REV from the porosity and fractal dimension that calculated from various sample sizes. Our results reveal that the relationship between fractal dimension-based REV and porosity-based REV can be classified as four cases, and the most common case is porosity declines if the domain is larger than fractal dimension-based REV size. The relationHighlights: Accurate pore information from FIB-SEM and μ-CT can be used for multiscale analysis. Fractal dimension based representative elemental volume (REV) exists for coal. Relationship between fractal dimension-based REV and porosity-based REV can be classified as four cases. Abstract: The representative elemental volume (REV) study provides a bridge between macro and micro properties' research, which is critical for understanding and predicting the heterogeneous properties of a porous media. Permeability, one of the essential properties, dominates the capability of fluid flow in porous media, which is scale dependent and thus one of the most rationale way to predict macro scale permeability is to calculate the permeability at REV. Porosity is the most common parameter to determine REV, however, the porosity based REV works less satisfactory for complex pore system. In this work, we determined the REV based on fractal dimension, which is a fundamental parameter to characterize the complex pore network, and then the relation between fractal dimension and sample size was investigated extensively. We then determined and compared the REV from the porosity and fractal dimension that calculated from various sample sizes. Our results reveal that the relationship between fractal dimension-based REV and porosity-based REV can be classified as four cases, and the most common case is porosity declines if the domain is larger than fractal dimension-based REV size. The relation discussed above can be applied to existing fractal permeability models to predict the permeability at different scales. … (more)
- Is Part Of:
- Fuel. Volume 254(2019)
- Journal:
- Fuel
- Issue:
- Volume 254(2019)
- Issue Display:
- Volume 254, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 254
- Issue:
- 2019
- Issue Sort Value:
- 2019-0254-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-10-15
- Subjects:
- Coalbed methane -- 3D pore structure -- REV -- Fractal dimension -- Permeability
Fuel -- Periodicals
Coal -- Periodicals
Coal
Fuel
Periodicals
662.6 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/00162361 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.fuel.2019.05.146 ↗
- Languages:
- English
- ISSNs:
- 0016-2361
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4048.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16594.xml