Application of unsupervised machine learning approach for characteristics of microseismic events at a CO2 injection site.
Author(s) -
Rachel A. Willis,
Hongkyu Yoon
Publication year - 2020
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2172/1833167
Subject(s) - microseism , computer science , waveform , unsupervised learning , cluster analysis , artificial intelligence , noise (video) , machine learning , pattern recognition (psychology) , noisy data , fuzzy logic , volume (thermodynamics) , data mining , geology , seismology , telecommunications , radar , physics , quantum mechanics , image (mathematics)
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