The oil and gas industry needs to make forecasts of production, revenues, and expenses for a multi-year period in the face of much uncertainty. Find below three examples to deal with this type of problem using @RISK:
1. A deterministic model to get started.
2. A basic @RISK model with a number of uncertainties.
3. A version using the RiskCollect function to help with a sensitivity analysis of the basic @RISK model.