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Transferring E & P Risk Assessment Expertise

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Risk Analysis, Prospect Evaluation and Exploration Economics Hybrid (5 Days)

Course Description

Our flagship course covers all phases of exploration decision-making, and has been presented hundreds of times worldwide over the past ten years. With a strong practical orientation and abundant use of realistic exercises, we illustrate the applications and mechanics of the various concepts and analytical procedures involved in the evaluation and investment analysis of exploration prospects.

The course follows the characteristic chain of considerations that attends most exploration projects, including both theory and application, and integrates the geotechnical, leasing, economics, and management aspects of such ventures. This course utilizes the latest methods for dealing with risk and uncertainty and is recommended for geoscientists, negotiators, engineers, economists, and management.

To reinforce key concepts, there are abundant learning opportunities and exercises in which the student can win or lose small amounts of money.

Completion of the course should prepare participants for immediate application and utilization of all concepts and techniques in the economic appraisal of ventures.

Course Outline

Day 1:
Introduction; Statistics: The Language of Uncertainty: Probabilities, Distributions and Correlation; Coping with Uncertainty; Estimating Petroleum Reserves (Introduction)

Day 2:
Estimating Petroleum Reserves (Continued); Expected Value and Chance of Prospect Success; RMAG Exercise (Introduction)

Day 3:
RMAG Exercise (Completion); Decision Trees and the Value of Information; Unconventional Resource Assessment; Exploration Economics: Estimating Profitability

Day 4:
The Most Crucial Decision: Selecting New Exploration Plays; Prospect Inventories and Portfolio Management; Acquisition Strategies and Bidding; Performance Tracking; Final Exercise (Introduction)

Day 5:
Final Exercise (Completion and Review); Conclusion

Course Documentation

R&A 5D Hybrid Course.pdf (361.6k)