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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of GEOPHYSICAL ENGINEERING
Doctorate
Course Catalog
http://www.muhfak.ktu.edu.tr/jeofizik/
Phone: +90 0462 3772710
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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of GEOPHYSICAL ENGINEERING / Doctorate
Katalog Ana Sayfa
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JFZ7195Improvement S/N Ratio By Noise Attenuation3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of GEOPHYSICAL ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face, Practical
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Hakan KARSLI
Co-LecturerNone
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
is to teach defining of the noises involving seismic data and new techniques, which improve signal-noise ratio, by filtering them from data.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : learn making a distinction between signal and noise in the seismic data.4,61,3
PO - 2 : learn choosing an appropriate techniques according to noise problems.4,61,3
PO - 3 : learn noise attenuation and improving signal-noise ratio techniques which are unconventional.4,61,3
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Definition of Noises and Classification, Multiple and Noise Attenuation in Common Midpoint Domain, Frequency-Wavenumber Filtering, Slant-Stack Transformation, Radon Transformation, Linear Uncorrelated Noise Attenuation, Multichannel Filtering Techniques for Noise and Multiple Attenuation, F-X filtering, AR and ARMA Projection Filtering, Eigen Images and KL Transformation, Eigen Images and Fourier Transformation, Singular Value Decomposition, Time Variant Deconvolution, Time Variant Spectral Whitening, Frequency Domain Deconvolution, Invers Q Filtering, Deconvolution Strategies.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Definition of Noises and Classification
 Week 2Multichannel Filtering Techniques for Noise and Multiple Attenuation
 Week 3Multiple and Noise Attenuation in Common Midpoint Domain
 Week 4Frequency-Wavenumber Filters
 Week 5Radon Transform, Slant-Stack Transformation
 Week 6Linear Uncorrelated Noise Attenuation
 Week 7F-X filters
 Week 8AR and ARMA Projection Filters
 Week 9Mid-term exam
 Week 10Eigen Vectors, KL Transformation, Singular Value Decomposition
 Week 11Eigen Vectors and Fourier Transform
 Week 12Deconvolution Strategies
 Week 13Time Variant Deconvolution
 Week 14Time Variant Spectral Whitening
 Week 15Invers Q Filtering, Frequency Domain Deconvolution
 Week 16End-of-term exam
 
Textbook / Material
1Ulrych, T. J. and Sacchi, M.D. (2005); Information-based inversion and processing with appplications, Elsevier, Vol 36, Amsterdam, Netherland.
 
Recommended Reading
1Buttkus, B., 2000, Spectral Analysis and Filter Theory in Applied Geophysics, Springer-Verlag, Germany.
2Yilmaz, Ö. 2001; Seismic data Analysis: Processing, Inversion, and Interpretation of Seismic data. SEG Tulsa, OK, 2027 pp.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 14/04/2012 2 30
In-term studies (second mid-term exam) 12 14/05/2012 2 20
End-of-term exam 16 11/06/2012 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 6 14 84
Arasınav için hazırlık 12 1 12
Arasınav 2 1 2
Ödev 6 7 42
Dönem sonu sınavı için hazırlık 16 1 16
Dönem sonu sınavı 2 1 2
Total work load200