2015/16 Taught Postgraduate Module Catalogue

SOEE5166M Seismic Data Processing

15 creditsClass Size: 50

Module manager: Dr Roger Clark
Email: r.a.clark@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2015/16

Pre-requisite qualifications

Course entrance pre-requisites

Module replaces

SOEE5165M and combines a reduced time series component of SOEE5115M and seismic data processing component of SOEE5165M

This module is not approved as an Elective

Module summary

In this module, students will learn principles of digital signal analysis and learn to process seismic reflection data.

Objectives

Time series: understand the concepts and principles of digital signal processing as applied to seismic reflection data.
Seismic Processing: to review the methods used to process seismic reflection data from raw data through to final seismic sections, and understand the physical principles that underlie these methods and how they are applied, to reinforce and apply knowledge of seismic reflection data processing by processing a marine 'legacy' survey over a hydrocarbon target and your own land survey over an extractive-industry target, using industry-standard software (ProMAX™)

Learning outcomes
After completing this module, students will be able to: understand the theory and how to perform digital signal processing; understand the theory and principles behind seismic reflection data processing; have a practical understanding of and be able to apply reflection processing tolls to a 2D seismic reflection line to a credible professional standard; be able to report on and document processing of 2D seismic reflection line at a credible professional standard. The learning outcomes will be assessed using seismic practical, an independent processing report and unseen exam.

Syllabus

Time series: discrete Fourier transform, amplitude and phase spectra, aliasing and Nyquist frequency, convolution, filters, auto-correlation, cross-correlation and deconvolution and f-k filtering

Processing: processing overview, data formats, QC amplitude scaling, and editing, field static corrections, deconvolution (deterministic and statistical: wavelet amplitude and phase shaping, predictive deconvolution), signal-to-noise improvement by single and multi-trace filtering (bandpass, median, FK-, and Radon), velocity analysis methods (semblance and coherence, NMO stretching and muting, anisotropic velocity analysis), residual statics, post stack enhancement, multiple suppression (FK, Radon-domain, and SRME), migration: principles, methods (Kirchhoff, FD, FK, RTM), post and pre-stack time and depth migration, special processing tasks: converted-wave (PS) and vertical seismic profile (VSP) processing

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	4	1.00	4.00
Lecture	11	2.00	22.00
Practical	3	8.00	24.00
Private study hours			100.00
Total Contact hours			50.00
Total hours (100hr per 10 credits)			150.00

Private study

Completion of practicals and assessments, computer exercises, literature search, reading text books, and revision for examination.

Opportunities for Formative Feedback

Assessment and feedback during practicals.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Report	Project Report	30.00
Practical	Practical	10.00
Total percentage (Assessment Coursework)		40.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exams

Exam type	Exam duration	% of formal assessment
Standard exam (closed essays, MCQs etc)	2 hr 00 mins	60.00
Total percentage (Assessment Exams)		60.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 22/05/2015

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