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Detection and Stochastic Modeling of Sand Bodies
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 78th EAGE Conference and Exhibition 2016, May 2016, Volume 2016, p.1 - 5
Abstract
Reservoir modelling is playing an increasingly important role in developing and producing hydrocarbon reserves. Detection and stochastic modeling of facies bodies such as channels has always posed a challenge for geologists and geophysicists. With modern seismic technology it has become standard practice to identify geobodies with the help of powerful seismic volume attributes such as spectral decomposition. Seismic attributes is used to provide stratigraphic features and when combined with geobody extraction, object modeling and stochastic facies modeling. Then it can provide the Geostatistical facies model with multiple realisations, which can be further used to calculate uncertainties associated with the geomodeling and hydrocarbon volume calculations. Geological background is given by Pacht et al (1989) . Based on seismic and well data they describe stacked channel-overbank systems with a large slopefan system. The channel deposits which can be easily observed on seismic time slices are characterized by thick sand-rich turbidites whereas over bank deposits generally show an aggradation mixture of sandstones, mudstones and siltstones.
The goal of this study is to develop techniques for capturing stratigraphic features identified by seismic attributes and use them as a guide for facies modelling. This workflow will also address the uncertainty of the size of the seismic geobodies.