Pore-scale digital rock physics for poroelastic parameter determination
© 2018 SEG. We explore the possibility to use digital rocks to determine poroelastic parameters which are difficult to extract from well-log or laboratory measurements. The Biot coefficient and the drained pore modulus are important in the compaction problem. The pore modulus represents the ratio of...
| Main Authors: | , , , |
|---|---|
| Format: | Conference Paper |
| Published: |
2019
|
| Online Access: | http://hdl.handle.net/20.500.11937/74072 |
| _version_ | 1848763172637376512 |
|---|---|
| author | Ahmed, S. Müller, T. Madadi, M. Calo, Victor |
| author_facet | Ahmed, S. Müller, T. Madadi, M. Calo, Victor |
| author_sort | Ahmed, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 SEG. We explore the possibility to use digital rocks to determine poroelastic parameters which are difficult to extract from well-log or laboratory measurements. The Biot coefficient and the drained pore modulus are important in the compaction problem. The pore modulus represents the ratio of pore volume change to confining pressure when the fluid pressure is constant. In laboratory experiments, bulk volume changes are accurately measured by sensors attached to the outer surface of the rock sample. In contrast, pore volume changes are notoriously difficult to measure because these changes need to quantify the pore boundary deformation. Hence, accurate measures of the drained pore modulus are challenging. We simulate static deformation experiments at the pore-scale utilizing digital rock images. We model an Ottawa F-42 sand pack obtained from X-ray micro-tomographic images. We calculate the change in pore volume using a new post-processing algorithm, which allows us to compute the local changes in pore volume due to the applied load. This process yields an accurate drained pore modulus. We then use an alternative estimate of the drained pore modulus. We exploit its relation to the drained bulk modulus and the solid phase bulk modulus (i.e., Biots coefficient) using the digital rock workflow. Finally, we compare the drained pore modulus values obtained from these two independent analyses and find reasonable agreement. |
| first_indexed | 2025-11-14T10:59:14Z |
| format | Conference Paper |
| id | curtin-20.500.11937-74072 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:59:14Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-740722019-02-19T04:26:40Z Pore-scale digital rock physics for poroelastic parameter determination Ahmed, S. Müller, T. Madadi, M. Calo, Victor © 2018 SEG. We explore the possibility to use digital rocks to determine poroelastic parameters which are difficult to extract from well-log or laboratory measurements. The Biot coefficient and the drained pore modulus are important in the compaction problem. The pore modulus represents the ratio of pore volume change to confining pressure when the fluid pressure is constant. In laboratory experiments, bulk volume changes are accurately measured by sensors attached to the outer surface of the rock sample. In contrast, pore volume changes are notoriously difficult to measure because these changes need to quantify the pore boundary deformation. Hence, accurate measures of the drained pore modulus are challenging. We simulate static deformation experiments at the pore-scale utilizing digital rock images. We model an Ottawa F-42 sand pack obtained from X-ray micro-tomographic images. We calculate the change in pore volume using a new post-processing algorithm, which allows us to compute the local changes in pore volume due to the applied load. This process yields an accurate drained pore modulus. We then use an alternative estimate of the drained pore modulus. We exploit its relation to the drained bulk modulus and the solid phase bulk modulus (i.e., Biots coefficient) using the digital rock workflow. Finally, we compare the drained pore modulus values obtained from these two independent analyses and find reasonable agreement. 2019 Conference Paper http://hdl.handle.net/20.500.11937/74072 10.1190/segam2018-2995896.1 restricted |
| spellingShingle | Ahmed, S. Müller, T. Madadi, M. Calo, Victor Pore-scale digital rock physics for poroelastic parameter determination |
| title | Pore-scale digital rock physics for poroelastic parameter determination |
| title_full | Pore-scale digital rock physics for poroelastic parameter determination |
| title_fullStr | Pore-scale digital rock physics for poroelastic parameter determination |
| title_full_unstemmed | Pore-scale digital rock physics for poroelastic parameter determination |
| title_short | Pore-scale digital rock physics for poroelastic parameter determination |
| title_sort | pore-scale digital rock physics for poroelastic parameter determination |
| url | http://hdl.handle.net/20.500.11937/74072 |