The course is aimed at both understanding and reducing uncertainty during well planning and design. Through discussion, you will learn how to consider both data-driven uncertainty as well as process-driven approaches. The ultimate aim is to see if Expected and High Cases can be appropriately risked such that percentage likelihood can be assigned to each.
It is recommended for any person involved in well design and for those that also act as peer-review from other departments and managers that need to understand the risks involved.
The Uncertainty in Pore Pressure Prediction course is run in the style of a workshop and is comprised of presentations, discussion and simple exercises.
Over 1.5 days, you will cover the following topics:
Session 1. What is a well plan - an introduction
Exercise 1 - What are the areas of uncertainty
Session 2. Current industry approaches to predict pore pressure (a brief review)
Exercise 2 - Draw pressure profiles and comment on where uncertainty lies
Session 3. Uncertainty in pore pressure algorithms
Exercise 3 - Quantify uncertainty in shale interpretation with Eaton ratio method
Session 4. Uncertainty in sand/shale equilibria and pore pressure ramps
Exercise 4 Uncertainty in reservoir connectivity
Session 5. Industry approaches and how significant can uncertainty be?
Exercise 5. Human influence on NCT
Session 6. Capturing uncertainty in predicted pore pressure for well design
Session 7. Putting it all together
Exercise 6. How would you narrow the prognoses for pressure in this scenario
Session 8. Overall Summary and Q&A
Appendix 1. New(er) techniques - a further way to reduce uncertainty
Appendix 2. Uncertainty in vertical stress
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