A systematic method for permeability prediction, a Petro-Facies approach
In this study, using a relatively large and complete data set of a complex carbonate reservoir, it is proven that among the numerous methods proposed for the prediction of permeability, the porosity-facies based models are the best choice from a theoretical and practical point of view. Based on petr...
| Main Authors: | , |
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| Format: | Journal Article |
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Elsevier BV
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/49748 |
| _version_ | 1848758306237054976 |
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| author | Chehrazi, A. Rezaee, M. Reza |
| author_facet | Chehrazi, A. Rezaee, M. Reza |
| author_sort | Chehrazi, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this study, using a relatively large and complete data set of a complex carbonate reservoir, it is proven that among the numerous methods proposed for the prediction of permeability, the porosity-facies based models are the best choice from a theoretical and practical point of view. Based on petrographic examinations and petrophysical interpretations, a systematic approach is proposed for permeability prediction. Porosity and pore type have been identified as the main influential attributes and Petro-Facies is the preferred way of permeability estimation in the un-cored wells. The Fuzzy C-Means (FCM) clustering method has been applied for the subdivision of the data space into 12 representative Petro-Facies and the corresponding relationships between porosity and permeability for each facies has been determined. After identification of themain responsive well log suite, based on the rank correlation, a classification tree approach was used for the population of Petro-Facies in the un-cored wells. Then, the relevant porosity–permeability relation was applied for permeability calculation. This study shows that by using a systematic approach for the identification of the controlling parameters of permeability and determining the proper permeability model, it is possible to achieve a reliable permeability prediction. |
| first_indexed | 2025-11-14T09:41:53Z |
| format | Journal Article |
| id | curtin-20.500.11937-49748 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:41:53Z |
| publishDate | 2012 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-497482017-09-13T16:08:11Z A systematic method for permeability prediction, a Petro-Facies approach Chehrazi, A. Rezaee, M. Reza Petro-Facies facies analysis classification tree porosity permeability In this study, using a relatively large and complete data set of a complex carbonate reservoir, it is proven that among the numerous methods proposed for the prediction of permeability, the porosity-facies based models are the best choice from a theoretical and practical point of view. Based on petrographic examinations and petrophysical interpretations, a systematic approach is proposed for permeability prediction. Porosity and pore type have been identified as the main influential attributes and Petro-Facies is the preferred way of permeability estimation in the un-cored wells. The Fuzzy C-Means (FCM) clustering method has been applied for the subdivision of the data space into 12 representative Petro-Facies and the corresponding relationships between porosity and permeability for each facies has been determined. After identification of themain responsive well log suite, based on the rank correlation, a classification tree approach was used for the population of Petro-Facies in the un-cored wells. Then, the relevant porosity–permeability relation was applied for permeability calculation. This study shows that by using a systematic approach for the identification of the controlling parameters of permeability and determining the proper permeability model, it is possible to achieve a reliable permeability prediction. 2012 Journal Article http://hdl.handle.net/20.500.11937/49748 10.1016/j.petrol.2011.12.004 Elsevier BV restricted |
| spellingShingle | Petro-Facies facies analysis classification tree porosity permeability Chehrazi, A. Rezaee, M. Reza A systematic method for permeability prediction, a Petro-Facies approach |
| title | A systematic method for permeability prediction, a Petro-Facies approach |
| title_full | A systematic method for permeability prediction, a Petro-Facies approach |
| title_fullStr | A systematic method for permeability prediction, a Petro-Facies approach |
| title_full_unstemmed | A systematic method for permeability prediction, a Petro-Facies approach |
| title_short | A systematic method for permeability prediction, a Petro-Facies approach |
| title_sort | systematic method for permeability prediction, a petro-facies approach |
| topic | Petro-Facies facies analysis classification tree porosity permeability |
| url | http://hdl.handle.net/20.500.11937/49748 |