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The Implementation of Neural Network to Predict Reservoir Characteristics from Seismic Attributes and Inversion Results
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 3rd EAGE St.Petersburg International Conference and Exhibition on Geosciences - Geosciences: From New Ideas to New Discoveries, Apr 2008, cp-34-00168
- ISBN: 978-90-73781-52-8
Abstract
The paper focuses on possibilities of modeling of reservoir properties in complex medium conditions. This is done via incorporation of seismic attributes and acoustic impedance as a result of inversion into neural networks analysis in order to predict porosity and permeability distribution in the whole reservoir based on well data. The study of actual advantages of implementing impedance data is emphasized.