Monitoring Production Equipment in Remote Locations
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.
Cite
Text
Kamath et al. "Monitoring Production Equipment in Remote Locations." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015. doi:10.1007/978-3-319-23461-8_33Markdown
[Kamath et al. "Monitoring Production Equipment in Remote Locations." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015.](https://mlanthology.org/ecmlpkdd/2015/kamath2015ecmlpkdd-monitoring/) doi:10.1007/978-3-319-23461-8_33BibTeX
@inproceedings{kamath2015ecmlpkdd-monitoring,
title = {{Monitoring Production Equipment in Remote Locations}},
author = {Kamath, Ujval and Silva, Ana Costa e and O'Connell, Michael},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2015},
pages = {293-297},
doi = {10.1007/978-3-319-23461-8_33},
url = {https://mlanthology.org/ecmlpkdd/2015/kamath2015ecmlpkdd-monitoring/}
}