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AssigneeSchneider Electric Systems USA, Inc.
InventorsFahd Saghir, Xavier Pasbeau, Bartosz Boguslawski, Matthieu Boujonnier, Loryne Bissuel-Beauvais
Estimating the term…
Systems and methods for real-time monitoring and control of well operations at a well site use machine learning (ML) based analytics at the well site. The systems and methods perform ML-based analytics on data from the well site via an edge device directly at the well site to detect operations that fall outside expected norms and automatically respond to such abnormal operations. The edge device can issue alerts regarding the abnormal operations and take predefined steps to reduce potential damage resulting from such abnormal operations. The edge device can also anticipate failures and a time to failure by performing ML-based analytics on operations data from the well site using normal operations data. This can help decrease downtime and minimize lost productivity and cost as well as reduce health and safety risks for field personnel.
A method of anticipating failure modes at a well site, comprising:
An edge device installed at a well site and operable to anticipate failure modes at the well site, comprising:
A method of anticipating failure modes at a well site, comprising:
Dependencies are inferred from the claim text.