Open AccessData-Driven Metric Learning for History Matching
Author(s) -
Jacob Miller,
Jayaraman J. Thiagarajan,
PeerTimo Bremer,
Nazish Hoda,
Dave Stern,
Rick T. Mifflin
Publication year - 2017
Publication title -
spe reservoir simulation conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2118/182683-ms
Subject(s) - metric (unit) , computer science , sampling (signal processing) , metric space , matching (statistics) , norm (philosophy) , mathematical optimization , workflow , importance sampling , algorithm , artificial intelligence , machine learning , mathematics , statistics , monte carlo method , database , mathematical analysis , operations management , filter (signal processing) , political science , law , economics , computer vision
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