The cross-line sampling is usually poor for narrow-azimuth streamer data and shallow imaging is unavoidably affected by acquisition footprint. Guided by compressive sensing (CS), we developed a non-uniform optimal design principle which favors CS-based data reconstruction. Combining both techniques, we can achieve much denser sampling and higher unaliased bandwidth at the same acquisition cost. Compared with conventional survey design, the implementation of nonuniform design requires minimal changes to filed operations. A 3D towed streamer survey with non-uniform optimal design was conducted over a producing field in Asia Pacific. We use examples from this survey to illustrate the increased sampling and extended bandwidth after data reconstruction, and the resulting uplift to the final imaging quality.
Presentation Date: Tuesday, September 26, 2017
Start Time: 1:50 PM
Presentation Type: ORAL