Modeling the facies of reservoir using seismic data with missing attributes by dissimilarity based classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
http://link.springer.com/article/10.1007/s12583-017-0797-6/fulltext.html
Reference21 articles.
1. Bagheri, M., Riahi, M. A., Hashemi, H., 2013. Reservoir Lithofacies Analysis Using 3D Seismic Data in Dissimilarity Space. Journal of Geophysics and Engineering, 10(3): 035006. doi:10.1088/1742-2132/10/3/035006
2. Bagheri, M., Riahi, M. A., 2014. Seismic Facies Analysis from Well Logs Based on Supervised Classification Scheme with Different Machine Learning Techniques. Arabian Journal of Geosciences, 8(9): 7153–7161. doi:10.1007/s12517-014-1691-5
3. Bhatt, A., Helle, H. B., 2002. Determination of Facies from Well Logs Using Modular Neural Networks. Petroleum Geoscience, 8(3): 217–228. doi:10.1144/petgeo.8.3.217
4. Carrillat, A., Basu, T., Ysaccis, R., et al., 2008. Integrated Geological and Geophysical Analysis by Hierarchical Classification: Combining Seismic Stratigraphic and AVO Attributes. Petroleum Geoscience, 14(4): 339–354. doi:10.1144/1354-079308-800
5. Dumay, J., Fournier, F., 1988. Multivariate Statistical Analyses Applied to Seismic Facies Recognition. Geophysics, 53(9): 1151–1159. doi:10.1190/1.1442554
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