Quantifying Time-lapse Seismic Signal Detection for the Otway Project Using Prestack Migration
During Stage 2 of the Otway CCS Australian project it is planned to inject a small, up to 15,000 tonnes of gas, into a saline aquifer located at depth of 1500 m. In CO2 sequestration, the ability to detect CO2 plumes is one of the main purposes of using time-lapse seismic imaging. The detectability...
| Main Authors: | , , |
|---|---|
| Format: | Conference Paper |
| Published: |
2015
|
| Online Access: | http://hdl.handle.net/20.500.11937/15895 |
| _version_ | 1848749018412220416 |
|---|---|
| author | Alajmi, M. Bona, Andrej Pevzner, R. |
| author_facet | Alajmi, M. Bona, Andrej Pevzner, R. |
| author_sort | Alajmi, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | During Stage 2 of the Otway CCS Australian project it is planned to inject a small, up to 15,000 tonnes of gas, into a saline aquifer located at depth of 1500 m. In CO2 sequestration, the ability to detect CO2 plumes is one of the main purposes of using time-lapse seismic imaging. The detectability of CO2 in seismic time-lapse surveys relies on two main factors: a sufficiently strong signal and sufficiently small noise. Therefore, to model time-lapse seismic records, we need to model not only the seismic response of the geology and the plume but also the time-lapse noise. Because plume detection is determined by the S/N, the ability to model realistic time-lapse noise is crucial in any feasibility study. In this work, we propose a more realistic approach by adding band-limited random noise to the pre-stack data (shot gathers) to match the S/N of field data. Using these noisy gathers we then compare the detectability of CO2 plume by using pre- and post-stack Kirchhoff migrations. |
| first_indexed | 2025-11-14T07:14:16Z |
| format | Conference Paper |
| id | curtin-20.500.11937-15895 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:14:16Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-158952017-09-13T14:08:01Z Quantifying Time-lapse Seismic Signal Detection for the Otway Project Using Prestack Migration Alajmi, M. Bona, Andrej Pevzner, R. During Stage 2 of the Otway CCS Australian project it is planned to inject a small, up to 15,000 tonnes of gas, into a saline aquifer located at depth of 1500 m. In CO2 sequestration, the ability to detect CO2 plumes is one of the main purposes of using time-lapse seismic imaging. The detectability of CO2 in seismic time-lapse surveys relies on two main factors: a sufficiently strong signal and sufficiently small noise. Therefore, to model time-lapse seismic records, we need to model not only the seismic response of the geology and the plume but also the time-lapse noise. Because plume detection is determined by the S/N, the ability to model realistic time-lapse noise is crucial in any feasibility study. In this work, we propose a more realistic approach by adding band-limited random noise to the pre-stack data (shot gathers) to match the S/N of field data. Using these noisy gathers we then compare the detectability of CO2 plume by using pre- and post-stack Kirchhoff migrations. 2015 Conference Paper http://hdl.handle.net/20.500.11937/15895 10.3997/2214-4609.201413466 restricted |
| spellingShingle | Alajmi, M. Bona, Andrej Pevzner, R. Quantifying Time-lapse Seismic Signal Detection for the Otway Project Using Prestack Migration |
| title | Quantifying Time-lapse Seismic Signal Detection for the Otway Project Using Prestack Migration |
| title_full | Quantifying Time-lapse Seismic Signal Detection for the Otway Project Using Prestack Migration |
| title_fullStr | Quantifying Time-lapse Seismic Signal Detection for the Otway Project Using Prestack Migration |
| title_full_unstemmed | Quantifying Time-lapse Seismic Signal Detection for the Otway Project Using Prestack Migration |
| title_short | Quantifying Time-lapse Seismic Signal Detection for the Otway Project Using Prestack Migration |
| title_sort | quantifying time-lapse seismic signal detection for the otway project using prestack migration |
| url | http://hdl.handle.net/20.500.11937/15895 |