Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data
There are several methods to estimate permeability from pore throat sizes and NMR T2 relaxation time. Although most of the methods are well-established and work well for conventional reservoirs they fail to estimate permeability for tight gas sands. The aim of this study was to establish relationshi...
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| Format: | Journal Article |
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Elsevier BV
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/48042 |
| _version_ | 1848758001008115712 |
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| author | Rezaee, Reza Saeedi, Ali Clennell, B. |
| author_facet | Rezaee, Reza Saeedi, Ali Clennell, B. |
| author_sort | Rezaee, Reza |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | There are several methods to estimate permeability from pore throat sizes and NMR T2 relaxation time. Although most of the methods are well-established and work well for conventional reservoirs they fail to estimate permeability for tight gas sands. The aim of this study was to establish relationships between permeability and pore throat sizes, derived from mercury injection analysis, and NMR T2 relaxation time. Regression analysis was used to achieve a set of relationships between dry gas permeability, porosity and pore throat sizes for 50 tight gas sand samples. Unlike for normal sandstone, pore throat radii corresponding to a mercury saturation of 10% (r10) is the best permeability predictor for tight gas sands. For tight gas sands, NMR T2 relaxation spectra fall on the shorter values corresponding to the smaller pores. This is because pore spaces are significantly reduced both in size and volume due to extensive compaction and cementation. This study shows that using NMR T2peak and multi-regression analysis, permeability can be estimated with high accuracy even in rocks with substantially constricted pore throats. |
| first_indexed | 2025-11-14T09:37:02Z |
| format | Journal Article |
| id | curtin-20.500.11937-48042 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:37:02Z |
| publishDate | 2012 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-480422019-02-19T04:27:00Z Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data Rezaee, Reza Saeedi, Ali Clennell, B. mercury injection capillary pressure tight gas sands NMR relaxation time permeability estimation There are several methods to estimate permeability from pore throat sizes and NMR T2 relaxation time. Although most of the methods are well-established and work well for conventional reservoirs they fail to estimate permeability for tight gas sands. The aim of this study was to establish relationships between permeability and pore throat sizes, derived from mercury injection analysis, and NMR T2 relaxation time. Regression analysis was used to achieve a set of relationships between dry gas permeability, porosity and pore throat sizes for 50 tight gas sand samples. Unlike for normal sandstone, pore throat radii corresponding to a mercury saturation of 10% (r10) is the best permeability predictor for tight gas sands. For tight gas sands, NMR T2 relaxation spectra fall on the shorter values corresponding to the smaller pores. This is because pore spaces are significantly reduced both in size and volume due to extensive compaction and cementation. This study shows that using NMR T2peak and multi-regression analysis, permeability can be estimated with high accuracy even in rocks with substantially constricted pore throats. 2012 Journal Article http://hdl.handle.net/20.500.11937/48042 10.1016/j.petrol.2011.12.014 Elsevier BV fulltext |
| spellingShingle | mercury injection capillary pressure tight gas sands NMR relaxation time permeability estimation Rezaee, Reza Saeedi, Ali Clennell, B. Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data |
| title | Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data |
| title_full | Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data |
| title_fullStr | Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data |
| title_full_unstemmed | Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data |
| title_short | Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data |
| title_sort | tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data |
| topic | mercury injection capillary pressure tight gas sands NMR relaxation time permeability estimation |
| url | http://hdl.handle.net/20.500.11937/48042 |