Prediction of shear wave velocity from petrophysical data utilizing intelligent systems: An example from a sandstone reservoir of Carnarvon Basin, Australia
Shear wave velocity associated with compressional wave velocity can provide the accurate data for geophysical study of a reservoir. These so called petroacoustic studies have important role in reservoir characterization such as lithology determination, identifying pore fluid type, and geophysical in...
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| Format: | Journal Article |
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Elsevier
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/39059 |
| _version_ | 1848755487696224256 |
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| author | Rezaee, M. Reza Kadkhodaie Ilkhchi, A. Barabadi, A. |
| author_facet | Rezaee, M. Reza Kadkhodaie Ilkhchi, A. Barabadi, A. |
| author_sort | Rezaee, M. Reza |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Shear wave velocity associated with compressional wave velocity can provide the accurate data for geophysical study of a reservoir. These so called petroacoustic studies have important role in reservoir characterization such as lithology determination, identifying pore fluid type, and geophysical interpretation. In this study, a fuzzy logic, a neuro-fuzzy and an artificial neural network approaches were used as intelligent tools to predict shear wave velocity from petrophysical data. The petrophysical data of two wells were used for constructing intelligent models in a sandstone reservoir of Carnarvon Basin, NW Shelf of Australia. A third well of the field was used to evaluate the reliability of the models. The results show that intelligent models have been successful for prediction of shear wave velocity from conventional well log data. |
| first_indexed | 2025-11-14T08:57:05Z |
| format | Journal Article |
| id | curtin-20.500.11937-39059 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:57:05Z |
| publishDate | 2007 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-390592019-02-19T05:35:17Z Prediction of shear wave velocity from petrophysical data utilizing intelligent systems: An example from a sandstone reservoir of Carnarvon Basin, Australia Rezaee, M. Reza Kadkhodaie Ilkhchi, A. Barabadi, A. fuzzy logic Carnarvon Basin neuro-fuzzy Australia petrophysical data artificial neural network Shear wave velocity Shear wave velocity associated with compressional wave velocity can provide the accurate data for geophysical study of a reservoir. These so called petroacoustic studies have important role in reservoir characterization such as lithology determination, identifying pore fluid type, and geophysical interpretation. In this study, a fuzzy logic, a neuro-fuzzy and an artificial neural network approaches were used as intelligent tools to predict shear wave velocity from petrophysical data. The petrophysical data of two wells were used for constructing intelligent models in a sandstone reservoir of Carnarvon Basin, NW Shelf of Australia. A third well of the field was used to evaluate the reliability of the models. The results show that intelligent models have been successful for prediction of shear wave velocity from conventional well log data. 2007 Journal Article http://hdl.handle.net/20.500.11937/39059 10.1016/j.petrol.2006.08.008 Elsevier fulltext |
| spellingShingle | fuzzy logic Carnarvon Basin neuro-fuzzy Australia petrophysical data artificial neural network Shear wave velocity Rezaee, M. Reza Kadkhodaie Ilkhchi, A. Barabadi, A. Prediction of shear wave velocity from petrophysical data utilizing intelligent systems: An example from a sandstone reservoir of Carnarvon Basin, Australia |
| title | Prediction of shear wave velocity from petrophysical data utilizing intelligent systems: An example from a sandstone reservoir of Carnarvon Basin, Australia |
| title_full | Prediction of shear wave velocity from petrophysical data utilizing intelligent systems: An example from a sandstone reservoir of Carnarvon Basin, Australia |
| title_fullStr | Prediction of shear wave velocity from petrophysical data utilizing intelligent systems: An example from a sandstone reservoir of Carnarvon Basin, Australia |
| title_full_unstemmed | Prediction of shear wave velocity from petrophysical data utilizing intelligent systems: An example from a sandstone reservoir of Carnarvon Basin, Australia |
| title_short | Prediction of shear wave velocity from petrophysical data utilizing intelligent systems: An example from a sandstone reservoir of Carnarvon Basin, Australia |
| title_sort | prediction of shear wave velocity from petrophysical data utilizing intelligent systems: an example from a sandstone reservoir of carnarvon basin, australia |
| topic | fuzzy logic Carnarvon Basin neuro-fuzzy Australia petrophysical data artificial neural network Shear wave velocity |
| url | http://hdl.handle.net/20.500.11937/39059 |