Joint deconvolution with hybrid norm and its applications to flat cable images and pre-migration data

Autor: Jean Ji, Zhigang Zhang, Bin Wang
Rok vydání: 2013
Předmět:
Zdroj: SEG Technical Program Expanded Abstracts 2013.
DOI: 10.1190/segam2013-1358.1
Popis: Summary Joint Deconvolution is an effective tool to attenuate the receiver ghost and broadens the spectrum of the image. Though successful results have been reported for acquisitions using variable-depth streamers, great challenges still exist when it is applied to conventional acquisitions using fixed-depth streamers. Artifacts appear around the receiver notch frequencies where signal to noise ratio is poor. In this paper, we showed that using a hybrid norm optimization which combines joint deconvolution with a L1 norm can reduce the artifact caused by joint deconvolution. Not only can this technology be used on post-stack images obtained with flat cable, but also could it be used for premigration gathers.
Databáze: OpenAIRE