Cisco Kinetic for Oil and Gas: Refineries and Plants


Cisco Kinetic for Oil and Gas: Refineries and Plants

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The plant manager and safety teams needed a solution that provided near real-time visibility of gas detection and personnel location, with easy to understand visualization and alerting dashboards. This would enable them to improve productivity through decreasing the time taken to start work, optimize evacuation route planning, and to meet critical staff safety and compliance goals.

An oil and gas major had limited visibility into gas leaks in the refinery as their sensors were installed in fixed locations. They also had no visibility into the location of personnel, raising potential safety issues as they couldn’t see where workers were in relation to leaks. Productivity of workers was also impacted as commencement of work was always delayed due to a manual gas detection survey in places of work

Engineers are equipped with mobile 4-way gas detectors, supplemented by fixed wireless gas detectors in key locations. The plant is covered by a pervasive industrial wireless MESH. Real-time gas monitoring measurements information is sent from the gas detectors, across the wireless infrastructure, to the Cisco Mobility Services Engine (MSE). 

Cisco Kinetic receives the data, processes it using customer defined policies and key performance indicators (KPIs), and turns the data into actionable insight via a near real-time gas monitoring and detection risk map in an operational dashboard. The dashboard is viewable by operations, maintenance and safety teams, and can be extended securely to the enterprise. 

Cutting Edge (technology has been on the market for < 2 years)

Fast, easy deployment, with reduced deployment costs.

Optimized equipment performance leading to increased production.

Intuitive and easy to understand multi-vendor operational information dashboard, providing a vendor agnostic way to connect and monitor assets.


Quantifiable benefits with the company realizing annual $1.5M USD savings due to performance monitoring, process condition optimization, and predictive maintenance.

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