Course Description
The quantified prediction of hydrocarbon charge is a key ingredient in the prospectivity analysis of basins and prospects. Simulation models allow the quantified prediction of fluid type (oil or gas) and volumes in un-drilled traps. The outcome of hydrocarbon charge models is used in propsectivity ranking of basins, plays, and prospects. Charge models integrate information from very diverse fields such as plate tectonics, stratigraphy, seismic interpretation, structural geology and geochemistry. They form an ideal "check list" for any basin/prosepct evaluation: "have we considered all elements of the play to evaluate the prospectivity?" IES software access will be provided by instructor.
Audience
- Geologists and Geophysicists involved in exploration
Course Schedule
| 1 |
- Focus on Heatflow
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Objectives of charge modelling, it's role in E&P venturs
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Overview of parameters & processes affecting hydrocarbon charge
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Basin types
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Heat flow, conductivity & geothermal gradient
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Heat flow estimation methods for West Africa
Exercise derivation heat flow from temperature data (well data)
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Surface temperature history and plate tectonics
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Exercise: estimate surface temeperature history from strtigraphic data
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| 2 |
- Focus on Burial
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Basin development
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Basin infill processes
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Burial history reconstruction
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Exercises (on paper) burial reconstruction (one exercise in continuous burial; one exercise with uplift and erosion)
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Compaction-decompaction
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Missing overburden reconstruction (using seismic data, sonic velocity, regional geology, maturity trends)
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Exercise (on paper) Temperature reconstruction
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Introduction to IES charge modelling software
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Exercise: IES data input
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| 3 |
- Focus on Charge
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Maturity calculation
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Exercise (on paper) maturity calculation
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Source rocks: environment of deposition
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Source rock quality assessment (Rock Eval) and its uncertainty
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Exercise (on paper): generation potential of a basin, based on Rock Eval data
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Genration of hydrocarbons
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Exercise (using IES software): 1D charge models, a number of dirrent burial histories. Assessment uncertainty in results.
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| 4 |
- Focus on Calibration & Migration
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Temperature data
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Vitrinite reflectance data
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Exercise (using IES): optimise thermal history given different quality VR calibration data sets
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Fission Track data: assess time of uplift
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Geomechanical data (e.g. GOR, biomarker indicators)
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Migration of hydrocarbons
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Exercise (using IES): 2D charge model
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| 5 |
- Focus on pressures and uncertainty
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Pressures in the subsurface
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Exercise (using IES): test development of overpressures depending on different burial sceanrios
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Uncertainty in input data (source rock quality, heat flow, stratigraphy and their respective effects on charge prediction)
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Exercise (using IES): 2D charge models and uncertainty in prediction 3D charge models
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Instructor
Dr. Wiekert Visser
Instructors may vary based on location and schedule.
Classes
No classes are currently scheduled for this course.
Add yourself to the waiting list
We will schedule a class for this course, when there are enough participants on the waiting list.
