Transmission Failure Prediction by Leveraging a Production Impact Evaluation Metric

Abstract: systems and methods are described for scheduling reciprocating fracturing pump transmission maintenance. accelerometers recording spectra are coupled to the transmission, and spectra with timestamps are collected at a fixed time interval. from each spectra is generated statistical and characteristic frequency (cf) features. the statistical and cf features of each spectra where the pump is idle are removed; processed features are retained. joined features are created by joining the processed features with time domain features, and then input into an anomaly detection model (adm) that identifies at least one outlier data point in the joined features indicating a probability a failure of the transmission. a failure alert is generated and ranked produce a production impact score (pis) based at least on the probability of the failure of the transmission being beyond a failure threshold. based on the pis, a remediation procedure is scheduled before a catastrophic transmission failure.

Inventor(s): Lokesh Pratap Singh, Yogendra Singh, Feng Feng, Fahad Ahmad, Yanmei Li, Gonzalo Federico Llanos, Gonzalo Martín Irusta, Bo Liang

CPC Classification: E21B43/2607 (by forming crevices or fractures)

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