Journal of Petroleum Geology, vol. 22(2), April 1999,
pp. 215-226
PERMEABILITY PREDICTION FROM WELL LOGS USING AN
IMPROVED WINDOWING TECHNIQUE
P.M. Wong*
Permeability
prediction from well logs is of great importance in reservoir characterization and
engineering. In this paper, a new method is proposed to correlate conventional well logs
and core permeability data. It uses an improved "windowing" technique to
incorporate adjacent core data to the permeability predictor in such a way that the scales
of the well log and core measurements are matched. It also has the capability to evaluate
the reliability of each and every prediction. The method is implemented by the use of a
neural network and is demonstrated by means of a case study. The study uses a set of well
logs and limited core permeability data to produce continuous permeability profiles. The
results show that the permeability profiles are consistent with the core permeability and
the geological sequence of the reservoir. The reliability indicator is particularly useful
for examining reservoir heterogeneity and sampling.