Module manager: Sjoerd de Ridder
Email: S.Deridder@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2025/26
This module is not approved as an Elective
This module provides an understanding of the sensitivity of pre- and post-stack seismic attributes to rock properties, petro-physical and fluid properties, and rock mechanics. With this module, students will appreciate the non-invasive means of extrapolating reservoir and fluid properties beyond well control, and the considerations that must be made in (e.g.) repurposing depleted hydrocarbon reservoirs as subsurface assets for storage. We will look at the implications for subsurface reservoir characterisation from time-lapse seismic technology, to seismic geomechanics. Students will learn to use rock physics models and Gassman's equation to understand the link between the petrophysical and fluid properties of reservoirs and seismic attributes. Experience is gained in the use of impedance inversion, fracture analysis, seismic anisotropy, geostatistics and 4D seismics in reservoir assessment. Finally, we will consider the current and future role of subsurface reservoir evaluation in the energy transition.
Understand the use of rock physics models to assess variations in reservoir characteristics such as fluid saturation, lithology and pressure prediction. Use pre-stack seismic attributes such as amplitude versus offset (AVO), and seismic inversion (such as impedance inversion) in the analysis of subsurface reservoirs. Appreciate the use of seismic methods for assessing and monitoring of subsurface reservoirs via seismic anisotropy and converted wave, and time-lapse (4D) seismic. A software practical covers the connection between rock and fluid properties and observable seismic attributes in a seismic feasibility study.
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1. Conjecture subsurface reservoir properties from seismic data by applying the principles of rock physics templates.
2. Predict the feasibility of using seismic for 4D monitoring of CCUS operations in a reservoir specific setting.
3. Define the optimum pre-stack and post stack seismic attributes for fluid and lithology identification and differentiation.
4. Appraise the geomechanical effects of compaction, pressures and fractures on reservoir properties.
5. Communicate the result of a study effectively and succinctly using appropriate presentation techniques.
6. Appreciate the role of subsurface geophysics for the energy transition.
Skills Learning Outcomes
On successful completion of the module students will have demonstrated the following skills learning outcomes:
1. Communication (work ready)
2. Problem solving and analytical skills (work ready skill)
3. Decision-making (work ready)
4. Digital proficiency and productivity (digital)
5. Anticipatory and future thinking (sustainability)
6. Managing Uncertainty, Ambiguity and Risk (enterprise)
Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 12 | 2 | 24 |
| Practical | 2 | 3 | 6 |
| Practical | 5 | 2 | 10 |
| Private study hours | 110 | ||
| Total Contact hours | 40 | ||
| Total hours (100hr per 10 credits) | 150 | ||
General formative feedback will be given during practical hours. The students’ progress is monitored and communicated throughout all practical sessions. Specific examples include during computer-based sessions that explore the influences on seismic reflectivity and their implications for subsurface interpretation.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Coursework | Online Time-Limited Assessment | 70 |
| Coursework | Coursework | 30 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
There is no reading list for this module
Last updated: 29/04/2025
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