Application of amplitude thresholding to aid minimum energy adaptive subtraction for multiple attenuation
Model based multiple prediction approaches require an adaptive subtraction step that is able to correct for differences between the real and predicted multiples. The commonly used subtraction process derives shaping operators, in the least squares sense, to minimize the energy difference between the...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Society of Exploration Geophysics
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/5013 |
| _version_ | 1848744676397416448 |
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| author | Wellington, P. Hartley, Bruce Kepic, Anton |
| author2 | SEG |
| author_facet | SEG Wellington, P. Hartley, Bruce Kepic, Anton |
| author_sort | Wellington, P. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Model based multiple prediction approaches require an adaptive subtraction step that is able to correct for differences between the real and predicted multiples. The commonly used subtraction process derives shaping operators, in the least squares sense, to minimize the energy difference between the predicted multiples and the field record. Although the minimum energy assumption allows a computationally efficient adaptive subtraction, it can lead to attenuation of primary information. This abstract illustrates how a simple amplitude clipping approach can significantly improve the effectiveness of the least squares adaptive subtraction and minimize primary attenuation. |
| first_indexed | 2025-11-14T06:05:15Z |
| format | Conference Paper |
| id | curtin-20.500.11937-5013 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:05:15Z |
| publishDate | 2008 |
| publisher | Society of Exploration Geophysics |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-50132017-09-13T16:04:15Z Application of amplitude thresholding to aid minimum energy adaptive subtraction for multiple attenuation Wellington, P. Hartley, Bruce Kepic, Anton SEG Model based multiple prediction approaches require an adaptive subtraction step that is able to correct for differences between the real and predicted multiples. The commonly used subtraction process derives shaping operators, in the least squares sense, to minimize the energy difference between the predicted multiples and the field record. Although the minimum energy assumption allows a computationally efficient adaptive subtraction, it can lead to attenuation of primary information. This abstract illustrates how a simple amplitude clipping approach can significantly improve the effectiveness of the least squares adaptive subtraction and minimize primary attenuation. 2008 Conference Paper http://hdl.handle.net/20.500.11937/5013 10.1190/1.3064087 Society of Exploration Geophysics fulltext |
| spellingShingle | Wellington, P. Hartley, Bruce Kepic, Anton Application of amplitude thresholding to aid minimum energy adaptive subtraction for multiple attenuation |
| title | Application of amplitude thresholding to aid minimum energy adaptive subtraction for multiple attenuation |
| title_full | Application of amplitude thresholding to aid minimum energy adaptive subtraction for multiple attenuation |
| title_fullStr | Application of amplitude thresholding to aid minimum energy adaptive subtraction for multiple attenuation |
| title_full_unstemmed | Application of amplitude thresholding to aid minimum energy adaptive subtraction for multiple attenuation |
| title_short | Application of amplitude thresholding to aid minimum energy adaptive subtraction for multiple attenuation |
| title_sort | application of amplitude thresholding to aid minimum energy adaptive subtraction for multiple attenuation |
| url | http://hdl.handle.net/20.500.11937/5013 |