Masters Theses


"Penobscot area is located in the Scotian Basin, which was occurred as a result of extension in the eastern North America border. 2-D data set that was utilized for the study consists of three multichannel seismic profiles that were collected from Penobscot Parcel 8. The main purpose of the study was to enhance signal-to-noise ratio of the seismic reflection sections suppressing high frequency noise and multiples, and removing diffractions. In addition, while the resolution of the sections were enhanced, determining the correct processing techniques and parameters for better results was the another important criteria.

The processing steps included deconvolution, minimum phase filter, velocity analysis, NMO correction, stacking, Stolt and Gazdag migrations, band-pass and slope filters, and muting. The resolution of the seismic sections was increased using pre-stack spiking deconvolution and PEF techniques. The low amplitude problem at the sea bottom reflections were recovered using the Butterworth minimum phase filter. Random noise were eliminated using band-pass and f-k dip filter. Stolt and Gazdag migrations were compared. Because Gazdag migration collapsed the diffractions at the shallow and deeper parts of the seismic sections at the same time and provided a better resolution for long dipping geological structures, the results of Gazdag were utilized for structural interpretation"--Abstract, page iii.


Gao, Stephen S.
Liu, Kelly H.

Committee Member(s)

Yang, Wan


Geosciences and Geological and Petroleum Engineering

Degree Name

M.S. in Geology and Geophysics


Missouri University of Science and Technology

Publication Date

Spring 2016


xi, 95 pages

Note about bibliography

Includes bibliographical references (pages 90-94).

Geographic Coverage

Nova Scotia


© 2016 Fulya Gizem Yagci, All rights reserved.

Document Type

Thesis - Open Access

File Type




Subject Headings

Seismic prospecting -- Nova Scotia
Seismic reflection method -- Data processing
Seismology -- Nova Scotia -- Charts, diagrams, etc.

Thesis Number

T 10898

Electronic OCLC #



Thesis Location