Extreme learning machine for multivariate reservoir characterization
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Title
Extreme learning machine for multivariate reservoir characterization
Authors
Keywords
Reservoir characterization, Facies, Reservoir properties, Machine learning, Extreme learning machine
Journal
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
Volume 205, Issue -, Pages 108869
Publisher
Elsevier BV
Online
2021-04-29
DOI
10.1016/j.petrol.2021.108869
References
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- Estimation of porosity from seismic attributes using a committee model with bat-inspired optimization algorithm
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- (2015) Soumi Chaki et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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- (2012) Guorui Feng et al. SOFT COMPUTING
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