Shear wave velocity prediction using seismic attributes and well log data
Formation’s properties can be estimated indirectly using joint analysis of compressional and shear wave velocities. Shear wave data isnot usually acquired during well logging, which is most likely for costsaving purposes. Even if shear data is available, the logging programs provide only sparsely sa...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Polska Akademia Nauk * Instytut Geofizyki
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/12369 |
| _version_ | 1848748057222447104 |
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| author | Gholami, Raoof Moradzadeh, A. Rasouli, Vamegh Hanachi, J. |
| author_facet | Gholami, Raoof Moradzadeh, A. Rasouli, Vamegh Hanachi, J. |
| author_sort | Gholami, Raoof |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Formation’s properties can be estimated indirectly using joint analysis of compressional and shear wave velocities. Shear wave data isnot usually acquired during well logging, which is most likely for costsaving purposes. Even if shear data is available, the logging programs provide only sparsely sampled one-dimensional measurements: this informationis inadequate to estimate reservoir rock properties. Thus, if the shear wave data can be obtained using seismic methods, the results can be used across the field to estimate reservoir properties. The aim of this paper is to use seismic attributes for prediction of shear wave velocity in a field located in southern part of Iran. Independent component analysis(ICA) was used to select the most relevant attributes to shear velocity data. Considering the nonlinear relationship between seismic attributes and shear wave velocity, multi-layer feed forward neural network was used for prediction of shear wave velocity and promising results were presented. |
| first_indexed | 2025-11-14T06:58:59Z |
| format | Journal Article |
| id | curtin-20.500.11937-12369 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:58:59Z |
| publishDate | 2014 |
| publisher | Polska Akademia Nauk * Instytut Geofizyki |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-123692017-09-13T14:59:51Z Shear wave velocity prediction using seismic attributes and well log data Gholami, Raoof Moradzadeh, A. Rasouli, Vamegh Hanachi, J. Formation’s properties can be estimated indirectly using joint analysis of compressional and shear wave velocities. Shear wave data isnot usually acquired during well logging, which is most likely for costsaving purposes. Even if shear data is available, the logging programs provide only sparsely sampled one-dimensional measurements: this informationis inadequate to estimate reservoir rock properties. Thus, if the shear wave data can be obtained using seismic methods, the results can be used across the field to estimate reservoir properties. The aim of this paper is to use seismic attributes for prediction of shear wave velocity in a field located in southern part of Iran. Independent component analysis(ICA) was used to select the most relevant attributes to shear velocity data. Considering the nonlinear relationship between seismic attributes and shear wave velocity, multi-layer feed forward neural network was used for prediction of shear wave velocity and promising results were presented. 2014 Journal Article http://hdl.handle.net/20.500.11937/12369 10.2478/s11600-013-0200-7 Polska Akademia Nauk * Instytut Geofizyki fulltext |
| spellingShingle | Gholami, Raoof Moradzadeh, A. Rasouli, Vamegh Hanachi, J. Shear wave velocity prediction using seismic attributes and well log data |
| title | Shear wave velocity prediction using seismic attributes and well log data |
| title_full | Shear wave velocity prediction using seismic attributes and well log data |
| title_fullStr | Shear wave velocity prediction using seismic attributes and well log data |
| title_full_unstemmed | Shear wave velocity prediction using seismic attributes and well log data |
| title_short | Shear wave velocity prediction using seismic attributes and well log data |
| title_sort | shear wave velocity prediction using seismic attributes and well log data |
| url | http://hdl.handle.net/20.500.11937/12369 |