The purpose of this paper is to review the ideas presented at the Octo
ber 1995 Hedberg Conference concerning decision and risk analysis (DRA
) With respect to petroleum exploration in both domestic and internati
onal arenas. Many types of analyses were discussed. AU methods are app
licable in some circumstances, and many are applicable in most circums
tances. What was particularly surprising was how frequently most prese
nters addressed risk management in terms of the same basic elements: t
he geologic probability of success; the commercial probability of succ
ess; the uncertainty of the size of the hydrocarbon resource, if disco
vered; and the value of the hydrocarbon resource. Most methods seemed
to focus on the petroleum system components to define geologic chance,
a probabilistic volumetric reserve calculation to define the resource
size uncertainty and expected net present value to define value. New
valuation methods included option pricing models applied to petroleum
ventures and risk aversion techniques that define the utility function
in terms of exponential, hyperbolic, and user-defined curves. Several
presenters defined the risk management process in terms of (1) consid
ering alternative opportunities, (2) predicting variables, (3) evaluat
ing the sensitivities, (4) calculating the value of additional informa
tion, (5) deciding on investments relative to other opportunities in t
he portfolio, and (6) looking back on the results using project review
s and annual performance assessments. Creative presentation techniques
Were used by different groups to display biases in the actual analyse
s and overall performance relative to reasonable expectations. Portfol
io management discussions brought out the most diverse approaches to d
ecision and risk analysis. There was also considerable discussion on t
he topic of risk aversion and its application to estimating value and
appropriate working interest in projects. Other topics of interest inc
luded ''efficient frontier'' methods of balancing risk and reward, por
tfolio optimization, and the appropriate level in the organization to
make project selection decisions. New research directions appear to be
focused on improving consistency, assessing less quantifiable risks,
option-pricing applications as a substitute for conventional discounte
d cash flow analysis, balancing multiattribute decisions, portfolio op
timization methods, and incorporating corporate risk attitudes in the
decision analysis.