Abstract
Within the context of Remote Equipment Monitoring, the specific customer implementation of this project has been in the area of an upstream oil and gas process. The goal was to improve the efficiency of ESP (Electric Submersible Pump) oil & gas production, by predicting (rather than just reacting to) ESP shutdown and failure and thus avoiding downtime which results in a loss of production as well as repair costs. Please see Figure 1 for an illustration of an ESP.
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© 2015 Springer International Publishing Switzerland
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Kamath, U., Costa e Silva, A., O’Connell, M. (2015). Monitoring Production Equipment in Remote Locations. In: Bifet, A., et al. Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2015. Lecture Notes in Computer Science(), vol 9286. Springer, Cham. https://doi.org/10.1007/978-3-319-23461-8_33
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DOI: https://doi.org/10.1007/978-3-319-23461-8_33
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