Oil & GasAnonymised case study — client identity confidential.
Oil & Gas · Case study

Eyes on remote assets — and the people near them.

An operator running widely distributed field assets needed remote visibility for uptime, predictive maintenance and worker safety across large, sparsely-covered sites.

Remote field monitoring scene
Outcomes

What the programme delivered.

Less

Unplanned downtime.

Predictive

Maintenance from condition data.

Safer

Lone-worker monitoring in the field.

Client identity withheld under confidentiality. KPI figures are typical ranges across comparable deployments; your own numbers depend on use case, environment and execution.

The challenge

Remote, hard-to-reach assets mean costly field visits, reactive maintenance, and limited ability to locate or protect lone workers.

Our approach

  • LoRaWAN for long-range, low-power asset and condition sensing.
  • GPS tracking for mobile assets and field crews.
  • Active RFID for higher-value asset visibility on site.
  • Condition-based and predictive-maintenance triggers.
  • Lone-worker safety and remote operational dashboards.

Technology & integration

Stack deployed: LoRaWAN sensors, GPS trackers and active RFID, with intrinsically-safe (ATEX/IECEx) hardware where required.

Integration: EAM / CMMS (e.g. IBM Maximo), SCADA-adjacent reporting, and HSE systems.

Outcome: “Long-range sensing improved safety and remote operational awareness.”

Related: Oil & gas RTLS · Industrial IoT · Vendor checklist

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