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f Reservoir characterization from 3D seismic data using artificial neural networks and stochastic modelling techniques
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 55th EAEG Meeting, Jun 1993, cp-46-00157
- ISBN: 978-94-6282-135-4
Abstract
For an accurate prediction of the production profile of a hydrocarbon reservoir an optimum assessment of the geological reservoir model is required. The reservoir architecture and litho-stratigraphic properties of the model are most important boundary conditions in the economic evaluation of the reservoir. Integration of data from different sources, with widely varying resolutions and accuracies is a pré-requisite to achieve this goal.