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Hydrocarbon Sand Detection through Prestack Elastic Inversion
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 74th EAGE Conference and Exhibition incorporating EUROPEC 2012, Jun 2012, cp-293-00061
- ISBN: 978-90-73834-27-9
Abstract
This paper demonstrates the value of prestack elastic inversion and Bayesian facies classification, compared to the statistically-based technique of coloured inversion. Coloured inversion can be easily biased, either through its implicit assumptions on the spectral character of the Earth, or by incomplete well coverage. The example shown, taken from a North Sea clastic field with complex reservoir geometries, stacked sand bodies and injectite features, illustrates the potential improvement in reservoir characterisation by using a more complete inversion technique. Bayesian facies classification transforms the elastic inversion results into readily-interpreted attributes, such as hydrocarbon sand probability, which integrate the information across the full range of recorded reflection angles.