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Abstract

The introduction of seismic attributes to the exploration world has brought another dimension to the seismic data interpretation. Further development has introduced another approach known as multi-attribute analysis which uses artificial neural networks (ANNs) to combine the multiple attributes to predict desired reservoir properties. Seismic attribute analysis using neural network applications has become an important tool for understanding the physical features and internal structure of reservoirs. Understanding such features is vital to provide effective strategies for exploration and exploitation in both new and old survey areas.

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/content/papers/10.3997/2214-4609-pdb.380.3
2013-05-15
2021-10-16
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.380.3
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