An operator combined cameras with machine learning enabled by the AgoraGateway to significantly reduce HSE exposure and opex.

THE CHALLENGE

An operator wanted to reduce HSE exposure of technicians who travel to a remote rig for manual data acquisition of analog gauges. There wasn’t a distributed control system on the rig, resulting in inefficient process surveillance for immediate intervention and optimization. Because of the manual process to collect the gauge data, there was a lack of continuous processing of the variable data, so troubleshooting and optimization were limited.

THE SOLUTION

Agora deployed cameras, connected to the AgoraGateway, to enable real-time visualization of analog gauge data on the rig. The cameras were positioned facing the multiple analog gauges to enable reading the production on the rig. Agora then applied a machine learning algorithm to digitize the analog gauge information into a real-time dashboard to process the continuous stream of variable data.

THE RESULTS

The solution delivered a remote interface that immediately improved production surveillance. The continuous processing of high-frequency data enabled new optimization workflows with fewer trips to the remote rigs for surveillance. This greatly reduced HSE exposure while lowering opex.

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