Minimal Coherence Optimization for Coding Blended Sources
K. Florez, S. Abreo and A. Ramirez
Event name: First EAGE Workshop on High Performance Computing for Upstream in Latin America
Session: Reservoir & Seismic
Publication date: 21 September 2018
Info: Extended abstract, PDF ( 1.63Mb )
Price: € 20
Blended (simultaneous) sources in marine seismic acquisitions improve the acquisition efficiency, reducing the acquisition costs and the number of acquired data, obtaining data with mixed information. Traditional data processing for blended data requires a de-blending or separation stage before the reconstruction of velocity model with the FWI method. In this document is developed a source coding optimization in distance and time delay, based on the minimum mutual coherence criteria between blended sources, with the aim to improve the final velocity model avoiding the de-blending step. FWI is implemented to contrast the optimal coded blended distribution with randomly coded blended distribution and traditional equally spaced sources. It is shown that optimal blended distribution of sources improves the final velocity model versus random coding, decreasing the artifacts in the image and obtaining a model closer to the model obtained with traditional acquisition, decreasing the processing time.