Seismic wavefield reconstruction using reciprocity
department or school: Science, Faculty of
department or school: Earth, Ocean and Atmospheric Sciences, Department of
data provider: DSpace
degree campus: UBCV
creator: Johnson, James
issued: 2013-03-27T09:16:00Z
issued: 2013
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: The primary focus of most reflection seismic surveys is to help locate hydro-carbon recourses. Due to an ever increasing scarcity of these re- courses, we must increase the size and quality of our seismic surveys. How- ever, processing such large seismic data volumes to accurately recover earth properties is a painstaking and computationally intensive process. Due to the way reflection seismic surveys are conducted there are often holes in the collected data, where traces are not recorded. This can be due to physical or cost constraints. For some of the initial stages of process- ing these missing traces are of little consequence. However processes like multiple prediction and removal, interferometric ground roll prediction, and migration require densely sampled data on a regular grid. Thus the need to interpolate undersampled data cannot be ignored. Using the fact that reflection seismic data sets obey a reciprocal relation- ship in source and receiver locations, combined with recent advances in the field of compressed sensing, we show that properly regularized the wavefield reconstruction problem can be solved with a high degree of accuracy. We exploit the compressible nature of seismic data in the curvelet domain to solve regularized l1 recovery problems that seek to match the measured data and enforce the above mentioned reciprocity. Using our method we were able to achieve results with a 20.45 dB sig- nal to noise ratio when reconstructing a marine data set that had 50% of its traces decimated. This is a 13.44 dB improvement over using the same method run without taking reciprocity into account.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/44063
note: Seismic wavefield reconstruction using reciprocity by James Johnson B.Sc.Engineering Physics, Queen’s University Kingston Ontario Canada. B.SC. (Gen) Geology, Queen’s University Kingston Ontario Canada. A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science in The Faculty of Graduate Studies (Geophysics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) March, 2013 c© James Johnson 2013 Abstract The primary focus of most reflection seismic surveys is to help locate hydro-carbon recourses. Due to an ever increasing scarcity of these re- courses, we must increase the size and quality of our seismic surveys. How- ever, processing such large seismic data volumes to accurately recover earth properties is a painstaking and computationally intensive process. Due to the way reflection seismic surveys are conducted there are often holes in the collected data, where traces are not recorded. This can be due to physical or cost constraints. For some of the initial stages of process- ing these missing traces are of little consequence. However processes like multiple prediction and removal, interferometric ground roll prediction, and migration require densely sampled data on a regular grid. Thus the need to interpolate undersampled data cannot be ignored. Using the fact that reflection seismic data sets obey a reciprocal relation- ship in source and receiver locations, combined with recent advances in the field of compressed sensing, we show that properly regularized the wavefield reconstruction problem can be solved with a high degree of accuracy. We exploit the compressible nature of seismic data in the curvelet domain to solve regularized `1 recovery problems that seek to match the measured data and enforce the above mentioned reciprocity. Using our method we were able to achieve results with a 20.45 dB sig- nal to noise ratio when reconstructing a marine data set that had 50% of its traces decimated. This is a 13.44 dB improvement over …
has type: Thesis/Dissertation
date issued: 2013-05
is shown at: 10.14288/1.0073634
language: eng
degree discipline: Geophysics
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/44063