Estimation of Fluid Flow Rate and Mixture Composition

Pradyumn Singh (), G. Karthikeyan, Mark Shapiro, Shiyuan Gu and Bill Roberts
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Pradyumn Singh: Deloitte Consulting LLP
G. Karthikeyan: Deloitte Consulting LLP
Mark Shapiro: Deloitte Consulting LLP
Shiyuan Gu: Deloitte Consulting LLP
Bill Roberts: Deloitte Consulting LLP

A chapter in Advances in Analytics and Applications, 2019, pp 177-185 from Springer

Abstract: Abstract Flow rate measurement of oil and gas mixture is the quantification of bulk fluid movement, and it helps in monitoring the oil rig. In this paper, we use acoustic sensor’s output which is the result of inside vibrations in pipeline due to fluid movement. Two approaches for estimating the flow rates are discussed: First-order auto-regression and hidden Markov model. Mel-frequency cepstral coefficients are used as features for hidden Markov model. Both approaches show good prediction accuracy.

Keywords: Hidden Markov model; Auto-regression; Mel-frequency cepstral coefficients; Nyquist frequency (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-981-13-1208-3_15

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DOI: 10.1007/978-981-13-1208-3_15

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