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Last modified: 28 Jun 2018 10:27

Course Overview

The student will be trained on the most important essentials of reflection seismics: The theory of seismic waves and their application to data processing both in pre-stack (CMP processing, velocity analysis, stacking, migration) and post-stack environments. Practical exercises involving processing of seismic reflection data will form a significant part of the course with the aim of familiarising students with the key software packages.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
  • Dr David Iacopini

Qualification Prerequisites


What courses & programmes must have been taken before this course?

  • GL Geology And Petroleum Geology (GL) (Studied)
  • Any Postgraduate Programme (Studied)

What other courses must be taken with this course?


What courses cannot be taken with this course?


Are there a limited number of places available?


Course Description

I. Pre-stack processing
1. Reformatting seismic data; assigning geometry to seismic trace headers
2. Trace gathering
3. Velocity analysis: NMO stretching, muting, making semblance, coherance maps
4. Comparing semblance maps, picking a semblance map; picking reflection events
5. Normal move-out correction; stacking CMP gathers
6. Editing: Killing and muting traces
7. Testing and applying deconvolution (deterministic and statistical: wavelet amplitude and phase shaping, predictive deconvolution) band pass filtering
8. Residual statics correction, velocity analysis iteration
 9. Multiple suppression (FK, FX, Radon-domian, Tua-p and SRME)
10. Migration: principles, methods (Kirchloff, FD, FK), Post- and pre- stack time and depth migration
11. Forwarding modelling migration: Beam, Gaussian Beam, reverse time migration, anistrophy beam/reverse time migration
12. post-stack time migration
13. challenges of 4D seismic processing
II. Post-stack image processing and quantitative seismic interpretation
1. AVO: model examples, comparison of methods, anistrophy; time-migrated versus depth-migrated seismic suitability for AVO and seismic inversion
2. Pre-conditioning noise cancellation methods; filter (diffusive, edge preserving, dip-azi steering filter, structural oriented filters); semblance, variance and structurally oriented semblances and their uses; complex attributes and their application for mapping seismics; cross-plotting attributes, volume blending, geobodies, building seismic facies models
3. Inversion modelling: comparing deterministic inversion of P, Vp/Vs and probabilistic approaches.

In light of Covid-19 this information is indicative and may be subject to change.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown


More Information about Week Numbers

In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

There are in-course exercises for formative feedback. The summative element consists of two exercises totalling 60% of the assessment, and an examination (40%) the exercises are: 1. a workbook recording practical work throughout the whole course (20%), and 2. an assigned exercise (40%). The examination will be by mulitple choice and will be computer marked.

Formative Assessment

There are no assessments for this course.



Course Learning Outcomes


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