COURSE UNIT TITLE

: PARAMETER ESTIMATIONS OF POTENTIAL FIELD DATA

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GPE 5038 PARAMETER ESTIMATIONS OF POTENTIAL FIELD DATA ELECTIVE 2 2 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR OYA PAMUKÇU

Offered to

Geophysical Engineering
GEOPHYSICAL ENGINEERING

Course Objective

The objective of this course is to apply normalized full gradient, Euler deconvolution, boundary analysis, the radial power spectrum, wavelet analysis, Curie depth calculation methods to the natural potential field data and the results of these implementations will be comprehended and interpreted by graduate students together with seismological and geological data.

Learning Outcomes of the Course Unit

1   To be able to apply data processing methods to the natural potential field data
2   To be able to identify the parameters of possible underground structures
3   To be able to comprehend Wavelet analysis
4   To be able to calculate the Curie depth using magnetic data
5   To be able to interprete Potential field data together with geological and seismological data

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The normalized full gradient method and the criteria for its application to the geophysical data and its implementation to the theoretical model anomalies
2 Application of the normalized full gradient method to the measured and processed natural potential field data (gravity, magnetic, self potantial), sample problems and assessments
3 Euler deconvolution method, mathematical investigations within the method and its applicationto the theoretical model anomalies
4 Application of Euler deconvolution method to the measured and processed natural potential field data (gravity, magnetic), sample problems and assessments
5 Boundary analysis method and its application to the theoretical model anomalies
6 Application of Boundary analysis method to the measured natural potential field data (gravity, magnetic), 1 st homework
7 1 st midterm exam
8 Calculating Curie Depth using magnetic data, its mathematical definition and physical meaning
9 Obtaining heat flow data from curie depth calculation and its application to the magnetic field data
10 Definition of Wavelet analysis, 2 nd homework
11 Application Wavelet analysis method to the potential field data and its interpretation
12 Application of Radial power spectrum method to the measured and processed natural potential field data
13 2nd midterm exam
14 Evaluation of all applications, their interpretation together with geological and seismological data, investigation of the relevant sample articles, presentations, 3 rd homework

Recomended or Required Reading

Richard J. Blakely, Potential Theory in gravity and magnetic applications. Cambridge
University Press (September 13, 1996), 464 pages.
Spectral Analysis and Filter Theory in Applied Geophysics, Springer; 1 edition (May 11,
2000), 682 pages
Paul Tackley,Computational Methods for Geodynamics, Cambridge University Press; 1
edition (September 6, 2010), 332 pages
M. Bath, Spectral Analysis in Geophysics (Development in Solid Earth Geophysics),
Elsevier Science Ltd (December 1974), 579 pages
E. Foufoula-Georgiou, Wavelets in Geophysics, Academic Press Inc. ; 1994, 372 pages.

Planned Learning Activities and Teaching Methods

Lesson, homework, presentations, exams, classroom discussions

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE 1 MIDTERM EXAM 1
2 MTE 2 MIDTERM EXAM 2
3 ASG ASSIGNMENT
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE 1* 0.10 + MTE 2 * 0.10 + ASG * 0.30 + FIN * 0.50
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE 1* 0.10 + MTE 2 * 0.10 + ASG * 0.30 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

midterm exams % 20 LO 1-2-3-4
homeworks+presentations % 30 LO 1-2-3-4
Final exam % 50 LO 1-2-3-4-5

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

oya.pamukcu@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 2 24
Tutorials 14 2 28
Preparation for final exam 1 8 8
Preparing presentations 1 3 3
Preparing assignments 3 10 30
Preparations before/after weekly lectures 12 4 48
Preparation for midterm exam 2 10 20
Midterm 2 2 4
Final 1 2 2
TOTAL WORKLOAD (hours) 167

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.155543
LO.254443
LO.3545343
LO.45543433
LO.55544434

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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