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Oil & Gas

Unifying Data, Assets, and Intelligence From Wellhead to Refinery

The oil & gas sector faces growing pressure to improve efficiency, with limited capital driving companies to maximize output from existing assets. Digitalization of infrastructure has become essential for achieving long-term strategic goals, and most operators already have extensive IIoT devices and sensors in place. Leading global players are now moving toward smarter, data-driven, and highly responsive systems powered by big data and advanced analytics.

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What digital investments make the most sense and where should they be focused?

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Digital investments in Oil & Gas should focus on technologies that improve asset uptime, reliability, and operational visibility. Industrial IoT (IIoT), edge computing, and advanced analytics enable real-time insight into equipment performance, production health, and supply chains. By connecting data, machines, and people, these solutions help operators optimize existing assets, boost efficiency, and achieve more with less investment.

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Zotera connects upstream, midstream, and downstream operations through a unified IIoT platform that delivers real-time visibility, predictive maintenance, and intelligent automation. By turning data into actionable insight, we help operators boost efficiency, ensure safety, and maximize performance across the energy value chain.

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Oil & Gas Solutions

Upstream

  • Asset Tracking

  • Machine Monitoring

  • Remote Video

  • Site Monitoring

  • Well Monitoring

  • Head Monitoring

  • Pump Station Monitoring

Downstream

  • Production Sensors

  • Fueling Station  Monitoring

  • Tank Farm Monitoring

Midstream

  • Pipeline0 Monitoring

  • Terminal Access control

  • Remote Video

  • Asset Tracking

  • Flow Meter Connectivity

Other

  • Facilities Perimeter Monitoring

  • Facilities Access Control

  • Fleet Management

  • Technician Dispatch

  • Field Crew Monitoring

  • Lone Worker Wearables

  • Contractor Tracking

Oil refinery and offshore rigs connected through IIoT and edge analytics for real-time monitoring.

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