Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Matthieu Boujonnier"'
Combining Augmented Intelligence and Edge Analytics for Improved Artificial Lift Systems Performance
Autor:
Fahd Saghir, Loryne Bissuel-Beauvais, Bartosz Boguslawski, Helenio Gilabert, Matthieu Boujonnier
Publikováno v:
Scopus-Elsevier
With the advent of IIoT enabled Edge Analytics, and its ability to run Machine Learning based inference at the extremities of a production network, it has become essential to enable Operators and Subject Matter Experts to transfer their knowledge to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c40f9a661f889dc6e7d8bca0d352822d
https://doi.org/10.2118/202875-ms
https://doi.org/10.2118/202875-ms
Autor:
Bartosz Boguslawski, Loryne Bissuel-Beauvais, Matthieu Boujonnier, Rajesh D. Sharma, Fahd Saghir
Publikováno v:
Day 2 Thu, November 29, 2018.
Oil and Gas operators now have the possibility to collect and leverage significant amounts of data directly at the extremities of their production networks. Data combined with Industrial Internet of Things (IIoT) architecture is an opportunity to imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e315a348a89028c13b9a872948430a5c
https://doi.org/10.2118/192513-ms
https://doi.org/10.2118/192513-ms
Publikováno v:
Scopus-Elsevier
This paper outlines the challenges and constraints related to deployment of Machine Learning solutions for rod pump abnormal states recognition and diagnosis at the wellhead. Those abnormal states may lead to a failure or to non-optimized production.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3db8368c0100da9cfccb47ed2746438
https://doi.org/10.2118/192886-ms
https://doi.org/10.2118/192886-ms
Publikováno v:
Day 2 Wed, October 24, 2018.
As data processing capabilities improve electronic device performance, it becomes necessary for Oil and Gas operators to understand how computing power can be harnessed at the extremities of their production network by deploying Edge Analytics soluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63f3dd4a2593939c49ba62bfc6dd4739
https://doi.org/10.2118/192019-ms
https://doi.org/10.2118/192019-ms
Autor:
Matthieu Boujonnier, Charbel El Kaed
Publikováno v:
iThings/GreenCom/CPSCom/SmartData
The adoption of the Internet of things and cloudconnected objects promoted the proliferation of high-level applications aiming to analyze IoT generated data in order to propose value-added services. Such applications distinguish between at least two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a33189c6b1afa279a8898da80d24068
https://doi.org/10.1109/ithings-greencom-cpscom-smartdata.2017.151
https://doi.org/10.1109/ithings-greencom-cpscom-smartdata.2017.151