Compressive time-lapse seismic data processing using shared information

TitleCompressive time-lapse seismic data processing using shared information
Publication TypeConference
Year of Publication2015
AuthorsFelix Oghenekohwo, Felix J. Herrmann
Conference NameCSEG Annual Conference Proceedings
Month05
KeywordsCSEG, time-lapse
Abstract

Time-lapse images void of acquisition and processing artifacts can provide more useful information about subsurface changes compared to those with acquisition footprints and other unwanted anomalies. Although, several pre-processing techniques are being developed and used to mitigate these unwanted artifacts, these operations can be very expensive, challenging and data dependent. Migration, as a processing tool, using a sparsity constraint has been shown to reduce artifacts drastically but little is known about the significance for compressed time-lapse seismic data. Leveraging ideas from distributed compressed sensing, and motivated by our earlier work on recovery of densely sampled time-lapse data from compressively sampled measurements, we present a sparsity-constrained migration for time-lapse data that uses a common component shared by the baseline and monitor data. Our algorithm tested on a synthetic example highlights the advantages of exploiting the common information, compared to ad hoc methods that involve parallel processing of the time-lapse data before differencing.

Notes

(CSEG, Calgary)

URLhttps://www.slim.eos.ubc.ca/Publications/Public/Conferences/CSEG/2015/oghenekohwo2015CSEGctl/oghenekohwo2015CSEGctl.pdf
Presentation

https://www.slim.eos.ubc.ca/Publications/Public/Conferences/CSEG/2015/og...

Citation Keyoghenekohwo2015CSEGctl