发明名称 |
HIGH-FIDELITY ADAPTIVE CURVELET DOMAIN PRIMARY-MULTIPLE SEPARATION PROCESSING OF SEISMIC DATA |
摘要 |
Methods and systems for separating multiple events from primary events in noisy seismic data are described. Multiples are predicted and then the predictions are improved by least-square matching filtering in the space and time domain. An adaptive curvelet domain separation (ACDS) is then performed and the ACDS equation is solved with an iterative soft-thresholding technique. Further processing can be added to compensate for prediction inaccuracy or variable/excessive seismic data noise by dividing the seismic data into predetermined bands and processing each band independently. |
申请公布号 |
US2014200819(A1) |
申请公布日期 |
2014.07.17 |
申请号 |
US201414152007 |
申请日期 |
2014.01.10 |
申请人 |
CGG SERVICES SA |
发明人 |
WU Xiang |
分类号 |
G01V1/36 |
主分类号 |
G01V1/36 |
代理机构 |
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代理人 |
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主权项 |
1. A method for separating multiple events from primary events in noisy seismic data, said method comprising:
adjusting predicted multiples to substantially match said multiple events using a least-square matching filter in a space and time domain; solving an adaptive curvelet domain separation (ACDS) equation based on said noisy seismic data and said adjusted predicted multiples; and outputting separated said multiple events and said primary events. |
地址 |
Massy Cedex FR |