Joint Deblending and Data Reconstruction With Focal Transformation

Abstract

Blended/simultaneous source shooting is becoming more widely used in seismic exploration and monitoring, which can provide significant uplift in terms of both acquisition quality and economic efficiency. Effective deblending techniques are essential in order to make use of existing processing and imaging methodologies. When dealing with coarse and/or irregularly sampled blended data, the aliasing noises of incomplete data will affect the deblending process and the crosstalk in the blended data will also have a bad influence on the process of data reconstruction. In this work, we propose a joint deblending and data reconstruction method using the double focal transformation to eliminate blending noise and aliasing noise in the coarse, blended data. Synthetic and numerically blended field data examples demonstrate the validity of its application for deblending and data reconstruction.