Abstract
M.Com. (Business Management)
Exploration, by its very natura, is a risky business; yet, because of the big
rewards, it is a business in which huge amounts of money are invested world
wide in spite of the risks involved. Success in exploration today, with
fluctuating, unpredictable commodity markets, belongs to those operators who
can assess the risks involved best, not only the geological, but also economic
and financial risk elements.
Risk stems from uncertainty, and it is in the recognition and description of
uncertainty that the exploration .management can quantify those risks involved
in their area of operation, and so minimise their exposure to risk. Because of
incomplete knowledge, risk can never be eliminated, but by understanding the
extent of uncertainty, Qecision ma~ing in the presence of risk can be
optimised.
A very important tool in the descriptidn of uncertainty is statistics. The
first chapter of this dissertation is therefore spent on a summary of the most
important statistical principles used in the description of populations of
data. Since the method of analysis suggested in this study is illustrated as
applied to hydrocarbon exploration, the next chapter is devoted to a brief
description of the calculation of hydrocarbon reserves.
Starting with the assumption of complete knowledge, the following geological
factors important in the calculation of recoverable hydrocarbon reserves, are
introduced: hydrocarbon source rock, reservoir rock, hydrocarbon trap (or
structure), seal or caprock, and migration path. The terms porosity,
permeability and nett reservoir to gross rock volume are also defined. A method
of dealing with risk in each of these factors is demonstrated, by starting with
the assumption of complete knowledge, and then gradually introducing
uncertainty in the calculation of reserves. The method finally consists of
estimating a minimum possible value for each geological factor, a most likely
value and a maximum possible value, using statistics, or subjective judgement
(depending on the extent of available data). The triangular factor
distributions so formed are then combined by way of simulation into a
distribution for·recoverable reserves...