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Semester 2

Geophysical Imaging and Inversion (EASC10109)

Subject

Earth Science

College

SCE

Credits

20

Normal Year Taken

3

Delivery Session Year

2023/2024

Pre-requisites

Good grounding in Maths and Physics to second year level

Course Summary

This is a companion course to Geophysical Measurement and Modelling. That course teaches physics and how to represent/model it computationally, this course teaches how to combine that information with new measurements to constrain model parameters for applications in remote sensing in the atmosphere, on the Earth's surface or in the subsurface. Such skills underpin much of science in all of the Geophysical disciplines taught in the SH year.

Course Description

An integrated introduction to imaging and inversion theory at honours level. The course begins with an overview of the difference between various ways to image a medium or constrain a model: converting the inverse problem to a forward problem, or applying inverse theory with decreasing degrees of approximation (linearization error). It then introduces seismic imaging since this is the main application that traditionally uses the forward problem approach, Thereafter inverse theory is introduced, progressing from linearised methods to iterated-linearised methods to non-linearised methods. Bayesian methods are introduced, including relevant associated probability theory. Finally, the inversion approach is linked back to the migration theory: it is shown that migration can be considered as the first step in an iterated-linearised waveform inversion for image parameters (impedances).

Assessment Information

Written Exam 60%, Coursework 40%, Practical Exam 0%

Additional Assessment Information

Assessment Details Exam (60%); Coursework (40%) Coursework (40%) This is broken down into: One individual exercise (20%) One group exercise (20%)Individual Exercise, 12:00 Wednesday week 5Group Exercise, In-Class, week 9Written Exam, May Exam Diet

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