Systems and methods for the quantitative estimate of production-forecast uncertainty
US-9223042-B2 · Dec 29, 2015 · US
US9535181B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9535181-B2 |
| Application number | US-201514678099-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 3, 2015 |
| Priority date | Apr 29, 2013 |
| Publication date | Jan 3, 2017 |
| Grant date | Jan 3, 2017 |
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Computing device, computer instructions and method for processing input seismic data d. The method includes a step of receiving the input seismic data d recorded in a first domain by seismic receivers that travel in water, the input seismic data d including up-going and down-going wave-fields; a step of generating a model p in a second domain to describe the input seismic data d; and a step of processing with a processor the model p to obtain an output seismic dataset indicative of the down-going wave-field and substantially free of the up-going wave-field.
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What is claimed is: 1. A method for processing input seismic data d associated with a surveyed subsurface, the method comprising: receiving the input seismic data d recorded in a first domain by seismic receivers that travel in water, the input seismic data d including up-going and down-going wave-fields; generating a model p in a second domain to describe the input seismic data d; processing with a processor the model p and applying interpolation to obtain an output seismic dataset indicative of the down-going wave-field and excluding of the up-going wave-field; and generating an image of the surveyed subsurface based on the output seismic dataset. 2. The method of claim 1 , wherein the input seismic data d includes only pressure measurements. 3. The method of claim 1 , wherein the input seismic data d includes only particle motion measurements. 4. The method of claim 1 , wherein the input seismic data d includes both pressure and particle motion measurements. 5. The method of claim 1 , wherein the output seismic dataset is indicative of pressure measurements and/or particle motion measurements. 6. The method of claim 1 , wherein the first domain is a time-space domain. 7. The method of claim 1 , wherein the second domain is one of a radon domain, frequency-wave number domain, tau-p domain, parabolic domain, shifted hyperbola domain, singular value decomposition, rank reduction and curvelet domain. 8. The method of claim 1 , wherein the step of processing the model p comprises: applying an L′ transform to the model p to obtain the output seismic dataset. 9. The method of claim 1 , wherein the step of processing also includes removing random, coherent or impulsive noise. 10. The method of claim 1 , wherein the output seismic dataset indicative of the down-going wave-field is generated at input positions. 11. The method of claim 1 , wherein the output seismic dataset indicative of the down-going wave-field is generated at positions different from the input seismic data. 12. The method of claim 1 , wherein the seismic dataset indicative of the down-going wave-field is free of the up-going wave-field. 13. The method of claim 1 , wherein the step of processing the model p comprises: generating a seismic dataset indicative of the up-going wave-field and subtracting the up-going data from the input data to generate an output dataset substantially free of up-going energy. 14. The method of claim 8 , wherein the L′ transform also includes a receiver rotation or obliquity correction. 15. The method of claim 9 , wherein the coherent noise is cross-talk noise, interference noise or multiple energy. 16. The method of claim 9 , wherein the impulsive noise is cross-talk noise or interference noise. 17. The method of claim 9 , wherein an amount of noise is reduced by scaling or filtering energy associated with the model p prior to or during the application of the L′ transform. 18. The method of claim 10 , wherein the output seismic dataset indicative of the down-going wave-field is subtracted from the input seismic data d to obtain data d′ to be used for generating the image of the surveyed subsurface. 19. The method of claim 11 , wherein the positions are in-between the receivers. 20. The method of claim 11 , wherein the positions are at different depths than the input seismic data. 21. The method of claim 11 , wherein the positions are selected to match positions of receivers from another seismic survey. 22. The method of claim 11 , wherein the positions are equidistant from streamers on which the receivers are distributed. 23. The method of claim 20 , wherein the different depths are at the sea surface. 24. A computing device for processing input seismic data d associated with a surveyed subsurface, the computing device comprising: an interface for receiving the input seismic data d recorded in a first domain by seismic receivers that travel in water, the input seismic data d including up-going and down-going wave-fields; and a processor connected to the interface, the processor being configured to, generate a model p in a second domain to describe the input seismic data d; process the model p and apply interpolation to obtain an output seismic dataset indicative of the down-going wave-field and excluding of the up-going wave-field; and generate an image of the surveyed subsurface based on the output seismic dataset. 25. A non-transitory computer readable medium including computer executable instructions, wherein the instructions, when executed by a processor, implement instructions for processing input seismic data d, the instructions comprising: receiving the input seismic data d recorded in a first domain by seismic receivers that travel in water, the input seismic data d including up-going and down-going wave-fields and being associated with a surveyed subsurface; generating a model p in a second domain to describe the input seismic data d; processing the model p and applying interpolation to obtain an output seismic dataset indicative of the down-going wave-field and excluding of the up-going wave-field; and generating an image of the surveyed subsurface based on the output seismic dataset.
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