The determination of the seismic quality factor Q from VSP data acquired using distributed acoustic sensing
The spectral ratio method is the most commonly used approach to estimate the Quality factor (Q) from vertical seismic profile (VSP) data. An assumption behind this method, indeed all Q-estimation methods, is that the ability of the VSP sensor to record data is not affected by depth. Distributed Acou...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/63497 |
| _version_ | 1848761103591407616 |
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| author | Dean, Tim Correa, J. |
| author_facet | Dean, Tim Correa, J. |
| author_sort | Dean, Tim |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The spectral ratio method is the most commonly used approach to estimate the Quality factor (Q) from vertical seismic profile (VSP) data. An assumption behind this method, indeed all Q-estimation methods, is that the ability of the VSP sensor to record data is not affected by depth. Distributed Acoustic Sensing (DAS) is a relatively new method for acquiring VSP data that utilises a fibre optic cable as the sensor. DAS has the advantage of being a highly efficient method to acquire densely sampled VSP data over a large depth range simultaneously but unfortunately the frequency response of DAS data varies with velocity and thus depth. In this paper we describe a methodology that can be used to correct the frequency spectra and thus successfully estimate unbiased Q values. The methodology is demonstrated using both synthetic and real data. |
| first_indexed | 2025-11-14T10:26:21Z |
| format | Conference Paper |
| id | curtin-20.500.11937-63497 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:26:21Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-634972018-02-06T06:17:38Z The determination of the seismic quality factor Q from VSP data acquired using distributed acoustic sensing Dean, Tim Correa, J. The spectral ratio method is the most commonly used approach to estimate the Quality factor (Q) from vertical seismic profile (VSP) data. An assumption behind this method, indeed all Q-estimation methods, is that the ability of the VSP sensor to record data is not affected by depth. Distributed Acoustic Sensing (DAS) is a relatively new method for acquiring VSP data that utilises a fibre optic cable as the sensor. DAS has the advantage of being a highly efficient method to acquire densely sampled VSP data over a large depth range simultaneously but unfortunately the frequency response of DAS data varies with velocity and thus depth. In this paper we describe a methodology that can be used to correct the frequency spectra and thus successfully estimate unbiased Q values. The methodology is demonstrated using both synthetic and real data. 2017 Conference Paper http://hdl.handle.net/20.500.11937/63497 restricted |
| spellingShingle | Dean, Tim Correa, J. The determination of the seismic quality factor Q from VSP data acquired using distributed acoustic sensing |
| title | The determination of the seismic quality factor Q from VSP data acquired using distributed acoustic sensing |
| title_full | The determination of the seismic quality factor Q from VSP data acquired using distributed acoustic sensing |
| title_fullStr | The determination of the seismic quality factor Q from VSP data acquired using distributed acoustic sensing |
| title_full_unstemmed | The determination of the seismic quality factor Q from VSP data acquired using distributed acoustic sensing |
| title_short | The determination of the seismic quality factor Q from VSP data acquired using distributed acoustic sensing |
| title_sort | determination of the seismic quality factor q from vsp data acquired using distributed acoustic sensing |
| url | http://hdl.handle.net/20.500.11937/63497 |