Reduce unplanned downtime, maximize asset availability, and increase safety

BHC3™ Reliability is a comprehensive software solution that provides reliability engineers, process engineers and maintenance managers with AI-enabled insights to address process and equipment performance risks. The application identifies anomalies, provides prioritized alerts to operators, recommends prescriptive actions, and enables collaboration across the enterprise.

Key Capabilities

AI-based asset risk predictions

Proactively assess real-time asset health, detect anomalies in operating conditions, and perform root cause analysis
Contextualize asset and system behavior with thousands of features
Prioritize maintenance activities for planned maintenance windows based on failure predictions

Prioritized early warnings

Identify anomalies using next-generation deep learning and machine learning algorithms
Prioritize issues and reduce the number of false alerts through AI/ML
Provide early warning of asset risks months ahead of time

System-level risk

Identify equipment and process issues that impact system-level health and performance
Scale application rapidly across any type of facility or asset fleet in upstream, midstream, and downstream oil & gas operations
Determine relationships between independent systems by modeling individual sensors contribution to system health

Failure mode identification and mitigation

Elastic solver for scheduling

Leverage AI/ML interpretability to explain factors contributing to asset risks
Identify failure modes using codified domain expertise with cross-industry diagnostic libraries
Prescribe remediation actions to guide engineers in rapid risk resolution

Closed-loop workflows

Scenario analyses

Streamline workflows across software tools by launching work orders in existing CMMS systems
Collaborate across the organization with operator, engineer, and manager views
Tune the machine learning models to accommodate operations complexity

Download BHC3 Reliability Data Sheet