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 solutions.

This paper will discuss adapting the Industrial Internet of Things (IIoT) in the Upstream Automation domain, specifically in Artificial Lift assisted production, and will shed light on how Edge Analytics can be leveraged to deploy Machine Learning Models (MLMs) directly at the well-head.

Keywords:
Upstream Oil & Gas, cloud platform, dynagraph card, Artificial Intelligence, platform, communication, application, operator, container, Efficiency
Subjects:
Information Management and Systems, Artificial intelligence
Copyright 2018, Society of Petroleum Engineers
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