Geophysical Analysis

The course gives an introduction to basic methods for analysis of geophysical data and encompasses discrete Fouriertransforms and sampling, linear filters, least-squares inversion, deconvolution, two-dimensional Fouriertransforms and the Radontransform. A short introduction to the removal of multiple reflections based on wave-equation methods is also given.

Ingress:
The students are required to understand basic theory for analysis, simulation and inversion of geophysical measurements in addition to practical applications for noise removal and estimation of geophysical parameters.

Knowledge:
The students are required to understand basic theory for sampling and spectral analysis of geophysical measurements and understand basic methods for noise removal and enhancement of wanted signal. The students are also required to understand simple models of geophysical signals and have basic knowledge of geophysical inversion.

Skills:
The students should be able to analyse geophysical data using simple tools, evaluate methods for noise removal and be able to apply these. The students should also be able to apply simple methods for simulation and inversion of geophysical data.

General competence:
The students should acquire experience and skills in critical analysis of scientific works and the ability to present technical work in a clear and pertinent manner, both orally and in writing.

Lectures, theoretical and computer based exercises. The course is taught in English if international master students attend. If there is a re-sit examination, the form of assessment may be changed from written to oral examination.