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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| Format: | Article |
| Language: | Russian |
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Sergo Ordzhonikidze Russian State University for Geological Prospecting
2020-03-01
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| Series: | Известия высших учебных заведений: Геология и разведка |
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| Online Access: | https://www.geology-mgri.ru/jour/article/view/550 |