Conference Paper

Application of Artificial Neural Networks to Predicate Shale Content.

DOI: 10.1007/11427469_166 Conference: Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part III
Source: DBLP

ABSTRACT This paper describes an Artificial Neural Network approach to the predication problem of shale content in the reservoir. An interval of seismic data representing the zone of interest is extracted from a three-dimensional data volume. Seismic data and well log data are used as input and target to Regularity Back-propagation (RBP) neural network. A series of ANNs is trained and results are presented.

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Oct 1, 2014