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GPGN
414 / 510
Advanced
gravity
& magnetic methods |
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Course
Description : |
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This
course studies the theory and techniques for processing
and interpreting gravity and magnetic data. We first
discuss the basic theory of potential fields in
gravity and magnetic exploration, describe the quantities
measured in field surveys. We next discuss modeling
and analysis of potential-field data with emphasis
on Fourier-domain approaches. We then discuss the
basic processing techniques such as gridding, linear
transformations, and filtering. The last section
of the course will concentrate on quantitative interpretation
techniques such as depth estimation and inversion
of potential-field data. |
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Course
objectives |
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For
students to learn and practice: |
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- Aspects
of potential-field theory
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- Advanced
techniques for modeling and processing potential-field
data
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- Quantitative
methods of data interpretation
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Course
format |
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- Three
hours of lectures each week
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- One
three-hour lab each week
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- Field
trips for data acquisition
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- Guest
lectures: From time to time, we will have guest
speakers from industry and government organizations
to deliver lectures. These lectures will be announced
as speakers become available. The lecture topics
will be in the general area of gravity and magnetic
methods, but they may not follow the syllabus
of this course. The purpose of these lectures
is to provide students with a broader perspective
and to expose students to real world problems.
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- GPGN510:
Each student in GPGN510 is also required to complete
and present a term project.
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Lecture
topics: |
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1.
Theoretical background:
1.1. Introduction: Example applications of gravity
and magnetic methods
1.2. Basic theory of potential fields in gravity
and magnetic exploration.
1.3. Gravity surveys: vertical gravity, and gravity
gradients
1.4. Magnetic surveys: scalar potential, magnetization,
and magnetic anomalies
2.
Modeling and Analysis
2.1. Simple modeling by analytical integration
2.2. Multipole expansion
2.3. Fourier domain expression of potential fields
2.4. Fourier domain modeling
2.5. Power spectral analysis of gravity and magnetic
data.
3.
Data processing
3.1. Data gridding techniques: 2D spline
3.2. Linear transformations in potential fields
and their applications.
3.3. Fourier domain filtering techniques
3.4. Remanent magnetization and associated processing
techniques
4.
Quantitative interpretation
4.1. Depth estimation
4.2. 3D Inversion of gravity and magnetic data.
*
The chapter numbers indicate the chapters in the
textbook |
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Lab
schedules : |
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Textbook: |
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Credit
Hours: 4 |
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Instructor: |
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Dr.
Yaoguo Li
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ygli@mines.edu |
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Phone:
303-273-3510 |
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Office:
Green Center, 280N |
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