Option pricing, decision trees, and Monte Carlo simulations are three metho
ds used to evaluate projects. In this paper, we compare their similarities
and differences from three points of view-how they handle uncertainty in th
e values of key parameters, such as reserves, oil price, and costs; how the
y incorporate the time value of money; and whether they allow for manageria
l flexibility. We show that, despite their obvious differences, they are in
fact different facets of a general project-evaluation framework that has t
he static base-case scenario as its simplest form. Compromises have to be m
ade when modeling the complexity of the real world. These three approaches
can be obtained from the general framework by focusing on certainty aspects
.