Prediction of filtration and capacity reservoir properties of oil fields, by using DV-SeisGeo software system

The article describes solution of the actual task in geological modeling: prediction of filtration and capacity reservoir properties of oil fields, due to DV-SeisGeo software system. The results were obtained by using seismic and well logging data for oil field of West Siberia. Description of neuron nets is given by illustrative examples of Cohonen modification (self-ogranizing maps). This material allows to user to create individual neuron net structure and to use obtained information to select more convenient parameters for processing data and to analyze results.
Materials and methods
Integrated Interpretation of 3D seismic and well logging data.
Results
The technological scheme of using neuron nets to predict reservoir properties was created and tested in DV-SeisGeo software. New methods to select seismic attributes were proposed.
Сonclusions
Neuron nets can be used not only for the prediction of reservoir properties of oil fields, but also allow users to determine the structure of oil field . Data obtained confirm the conclusions about necessity to use the parameters, closely connected with predictable properties.