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Date of Award

2017

Document Type

Campus Access Master's Thesis

Degree Name

Master of Science in Geophysics (MS)

Administrative Home Department

Department of Geological and Mining Engineering and Sciences

Advisor 1

Wayne D. Pennington

Committee Member 1

Mir Sadri

Committee Member 2

Roohollah Askari

Abstract

The aim of this thesis is to compare stacking results using conventional and weighted techniques, and illustrate how their results affect coherence attribute for Penobscot seismic data of Nova Scotia, Canada. Pre-processing and necessary basic steps have already been applied to the data by the owner, and the data set was provided to me as NMO corrected, time migrated pre-stack data(PSTM). When conventional and weighted stack methods are applied to the data, multiples are removed, and random noises are suppressed as expected. However, weighted stack method results are better and suppressed noises more effectively. Seismic attributes are used when seismic data does not directly provide enough information about underground. Coherence attribute is one of the useful attribute to identify faults, cracks, stratigraphic structures and their borders. Coherence attribute results calculated from conventional stacked data and weighted stacked data have shown dramatic differences. Both results shows the same events. However, coherence attribute calculated with weighted stacked data makes faults and stratigraphic structures more apparent, clear, and easier to interpret.

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