In the dual porosity method , we will describe how to extract
some useful information from core , well logging and seismic
data , calculate the acoustic porosity and the density porosity ,
build the geologic model , perform impedance inversion with the
well constraint , apply those data to multi-parameter reservoir
description through nonlinear neural network pattern recognition.
Finally , we obtain the rock porosity and the oil saturation. In this
paper we take lower S1 and upper S3 of Pu128 block of Pucheng
oilfield for example. We describe how to get distributing
information from geologic and seismic data after information’s
correlation and classification. We make use of dual porosity
method to realize the application to the characteristic parameter’s
quantitative description.
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