Oil, Gas, & Chemicals

Our platform supports these industries, delivering      end-to-end oversight of operations

The oil, gas, and chemical sectors are among the most demanding areas of industry. They are characterized by high technological complexity, dispersed infrastructure, and particular sensitivity to operational errors, which can lead not only to financial losses but also to serious environmental and health and safety consequences. In such an environment, data must be absolutely reliable and available in real time, as it is the basis for stable plant operation, failure prediction, effective incident management, and compliance with stringent regulatory and process safety standards.

Without a single, consistent layer of data, it is difficult today to talk about operational resilience in the oil & gas and chemical sectors – both in terms of production continuity and risk management, cost optimization, and emissions reduction. It is the integration of data from multiple sources that enables decision-making with a full understanding of the process context and rapid response to dynamic changes in operating conditions.

Smart RDM – an operational resilience platform for the most demanding sectors

 

Oil & Gas and chemical companies operate in an environment where:

  • the costs of errors are enormous,
  • regulations are strict,
  • infrastructure is dispersed and critical,
  • data must be absolutely reliable.

 

Smart RDM integrates data from production, distribution, processing, and maintenance, creating a consistent layer of operational data with full security control.

Smart RDM is as an oil and gas data analytics

 

Key benefits:

AI for health and safety and processes

Failure prediction, event analysis, corrective action recommendations.

Single source of data (CDR)

Integration of sources, energy, equipment operation, quality, environmental events.

Monitoring of operational plans

Performance prediction, risk analysis, comparisons with plans.

Alarm and incident management

Workflow, classification, prioritization, regulatory compliance.

Digital Twin & anomaly detection

Models of objects, devices, and processes.

Fail-safe architecture

Redundancy, IT/OT, zero data loss.