NFYK15017U Probabilistic methods in Geosciences
M.Sc. Physics
The objective of the course is to provide the background needed for allowing probabilistic integration of GEO-information from diverse sources. Such GEO-information can be geophysical data (reflection seismic data, well log data, EM data,..) and geological information (information about realistic spatial structures given geological knowledge). First theory and methods for characterizing such different information in a probabilistic form will be presented. Then methods enabling the student to integrate this information into one probabilistic model, consistent with all information at hand, will be given.
Skills
This course aims to provide the student with skills to
- describe available geo-information using statistical methods
- understand and apply geostatistical simulation algorithms, to describe and simulate geologically realistic structures (using Gaussian and multiple-point statistical models)
- understand and quantify errors in physical models related to data uncertainty and modeling uncertainty
- integrate information based on structural geological information and geophysical observations.
- solve non-linear inverse problems with non-Gaussian a priori models
- analyze and validate results from probabilistic inverse problems
Knowledge
The course will provide knowledge about geostatistics and probabilistic inverse problem theory.
Competences
The student will acquire skills to a) describe information in a statistical form using classical statistical models and geostatistical models, and b) apply and evaluate these methods for practical applications in Geosciences.
Tarantola (2005) Inverse Problem Theory
Lecture notes: probabilistic integration of geo-data
linear algebra,
may be useful: NFYK13011U Applied Statistics: From Data to Results
- Category
- Hours
- Lectures
- 27
- Practical exercises
- 16
- Preparation
- 73
- Project work
- 90
- Total
- 206
As
an exchange, guest and credit student - click here!
Continuing Education - click here!
- Credit
- 7,5 ECTS
- Type of assessment
- Continuous assessmentOral examination, 30 minutes3 projects (group or individual) [weighed by 12.5%, 12.5% and 25%] followed by 1 individual oral examination [weighed by 50%]
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
several internal examiners
- Re-exam
Same as ordinary exam. The student can choose to re-use points from projects handed in during the course, or make new projects.
Criteria for exam assesment
see "skills"
Course information
- Language
- English
- Course code
- NFYK15017U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 3
- Schedule
- C
- Continuing and further education
- Study board
- Study Board of Physics, Chemistry and Nanoscience
Contracting department
- The Niels Bohr Institute
Course responsibles
- Thomas Mejer Hansen (3-79726d456c6b7e33707a336970)
- Klaus Mosegaard (9-7375796b6d6767786a4674686f34717b346a71)