Abstract
In this paper, we propose a novel three-dimensional receiver deghosting algorithm that is capable of deghosting both horizontal and slanted streamer data in a theoretically consistent manner. Our algorithm honours wave propagation phenomena in a true three-dimensional sense and frames the three-dimensional receiver deghosting problem as a Lasso problem. The ultimate goal is to minimise the mismatch between the actual measurements and the simulated wavefield with an L1 constraint applied in
the extended Radon space to handle the underdetermined nature of this problem. We successfully demonstrate our algorithm on a modified three-dimensional EAGE/SEG
Overthrust model and a Red Sea marine dataset.
the extended Radon space to handle the underdetermined nature of this problem. We successfully demonstrate our algorithm on a modified three-dimensional EAGE/SEG
Overthrust model and a Red Sea marine dataset.
Original language | English |
---|---|
Pages (from-to) | 987-1003 |
Journal | Geophysical Prospecting |
Volume | 66 |
Issue number | 5 |
DOIs | |
Publication status | Published - Jun 2018 |
Keywords
- Data processing
- Deghosting
- Inversion