Analysis of machine learning approaches for the interpretation of acoustic fields obtained by well noise data modelling

Analysis of machine learning approaches for the interpretation of acoustic fields obtained by well noise data modelling

Assessing the phase composition of the fluid in a well based analysis of the frequencies of the radial resonance modes excited by acoustic noise in the inflow zone is a promising method for interpreting the results of passive noise metering. Machine learning makes it possible to take into account ma...

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Bibliographic Details
Main Author:	N. V. Mutovkin
Format:	Article
Language:	Russian
Published:	Sergo Ordzhonikidze Russian State University for Geological Prospecting 2020-03-01
Series:	Известия высших учебных заведений: Геология и разведка
Subjects:	acoustic noise interpretation machine learning linear regression reference vector method random forest gradient boosting neural net
Online Access:	https://www.geology-mgri.ru/jour/article/view/550
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