Last modified: 22 May 2019 17:07
The key objective of this course is to understand how petrophysical data (core and log), can be used to calibrate and predict the seismic response of hydrocarbon reservoirs. This can be used throughout field life from reducing exploration risk at the early stages to better quantifying the differences seen in time lapse seismic for reservoir management and field development. Students will learn the nature of reservoir models and the petrophysical and other inputs used to construct them, including permeability predictors, upscaling and saturation height functions. The principles of uncertainty management will be described and applied to the petrophysical parameters.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | None. | Sustained Study | No |
| Co-ordinators |
Sorry, we don't have a record of any course coordinators. |
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- Seismic acquisition and processing - Acoustic logging tools - Fundamental elastic properties of rocks - Reflectivity and convolution - Fluid substitution and scenario modellingg - Geophysical analysis - 3-D geological modelling and volumetrics - Property averaging and model population - Reservoir simulation - Uncertainty analysis for petrophysics - Error propagation - Integration of uncertainties.
This course is based on the Senergy courses F6 and F9.
Information on contact teaching time is available from the course guide.
Continous assessment (100%).
There are no assessments for this course.
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