APERIO enables optimization of the entire supply chain for maximum value


As oil & gas companies strive to optimize their value chain with goals to maximize performance and profitability, they are increasingly required to chart their journey to net-zero. This presents both challenges and opportunities in this energy-intensive industry. The solution lies in digitally connecting people, processes, and technology to run safe, efficient operations while reducing energy and emissions. To achieve these ambitious goals, and empower workers to make better decisions faster, requires trusted data that is assessable and actionable. APERIO DataWise helps customers:


Improvement in the detection of data anomalies


Increase asset downtime directly due to sensor data issues


Avoid unplanned downtime due to equipment failures


Improve reporting of GHG emissions, avoiding fines

APERIO Use Cases in the Oil & Gas Industry

Below are some sample use cases where customers are employing APERIO DataWise in oil & gas applications.

Equipment Modeling

  • Real time asset modeling to reduce unplanned downtime and optimize OEE
  • Protect against replay attacks & other threats

Process Optimization

  • Optimize the process state: temperature profiles, energy mix and efficiency, equipment fouling, and capacity utilization

Workforce Enablement

  • Maximize operator efficiency through improved visibility, knowledge transfer, and safety assurance

Sensor/SIS Detection

  • Reduce connectivity and calibration errors
  • Prevent sensor drift, fouling, and/or tampering

Real-Time Monitoring

  • Monitor vibration, flow, pressure for early detection
  • Track and report GHG emissions

IT-OT Convergence

  • Keep assets, systems, and data secure
  • Validate OT-IT data, with diagnostics and reporting

See What We’ve Done for Your Peers

Global Oil & Gas Company 500 750 APERIO

Global Oil & Gas Company

Eliminated questionable asset models and calculations.

European Refining Company 720 1080 APERIO

European Refining Company

Customer had implemented automated tool to efficiently track energy efficiency, but the system did not yield actionable output due to data integrity issues. Engineers spend 10-20 hours/week in manual tasks.

The true cost of poor data quality

APERIO enables operators to quickly identify and address integrity issues for improved visibility, better asset health, and/or operational efficiencies.

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