Abstract
We introduce a generalized concept of blending and deblending, establish its models, and accordingly establish a method of deblended-data reconstruction using these models. The generalized models can handle real-life situations by including random encoding into the generalized operators both in the space and time domain, and both at the source and receiver side. We consider an iterative optimization scheme using a closed-loop approach with the generalized-blending and -deblending models, in which the former works for the forward modelling and the latter for the inverse modelling in the closed loop. We established and applied this method to existing real datasets acquired in Abu Dhabi. The results show that our method succeeded to fully reconstruct deblended data even from the fully generalized, thus quite complicated blended data
Original language | English |
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Title of host publication | SEG Technical Program Expanded Abstracts 2018 |
Subtitle of host publication | 14-19 October 2018, Anaheim, United States |
Pages | 4166-4170 |
DOIs | |
Publication status | Published - 2018 |
Event | SEG Annual Meeting 2018 - Anaheim convention Center, Anaheim, United States Duration: 14 Oct 2018 → 19 Oct 2018 Conference number: 88 https://seg.org/Annual-Meeting-2018 |
Publication series
Name | SEG Technical Program Expanded Abstracts 2018 |
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Publisher | SEG |
ISSN (Electronic) | 1949-4645 |
Other
Other | SEG Annual Meeting 2018 |
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Abbreviated title | SEG 2018 |
Country/Territory | United States |
City | Anaheim |
Period | 14/10/18 → 19/10/18 |
Internet address |
Keywords
- deblending
- reconstruction
- simultaneous source
- modeling
- inversion