Cerebra
Industrial AI Driving Asset Uptime Reliability and Operational Efficiency
Delivering actionable insights through AI powered digital solutions across the Oil & Gas value chain. Cerebra, AI-platform, is rigorously field tested and scaled across enterprises globally.
Cerebra drives actions on the field through use case specific “Digital Assistant” which combines sensor intelligence, video intelligence and edge intelligence.
Cerebra integrates physics, heuristics, and machine learning to drive business outcomes such as reduced production deferment, number of field visits, maintenance costs, time for RCA, number of safety incidents and enhanced uptime.
Cerebra has been deployed across 3 different levels of use-cases:
- Equipment Level: Equipment Health, Equipment Failure Prediction, Well Surveillance, PPE Non-compliance, etc
- Process Unit Level: Setpoint Recommendation, RVP Prediction, Automated RCA, etc
- System Level: Gathering System Optimization, Manufacturing Quality Optimization, etc
Specification Title | Specification Description |
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Areas of Application
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Across asset and process intensive industries. Taps underserved challenges of asset-, process- and system-level use cases.
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Asset Management
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Predictive asset and equipment maintenance alerts any impending downtime in advance, helping to extend asset lifetime.
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Integration
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Easily integrates with ingest data sources - SCADA, historian, PLC, ERP, MES, and more. Crunches structured and unstructured data.
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Monitoring
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Video analytics has simplified remote monitoring by revolutionizing the areas of risk mitigation, monitoring, security and operational efficiency.
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Condition Based Maintenance
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Any deviation from the normal operations or equipment health alerts the operators for a timely intervention.
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Platform
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Vertical specific digital assistants that can be deployed as on-prem, cloud (public or private) and edge devices.
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Prediction
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Accuracy of up to 97%, with the availability of historical data. Advanced AI & ML models aid in choosing accurate predictive model across multiple applications.
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Machine Learning
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Machine learning algorithms based on Supervised, Unsupervised, Deep Learning, Hybrid AI and First Principles.
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Digitalisation
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Surgical digital assistants like Digital Process and Asset Twin, Pulse, Diagnostics, Prognostics, and more for driving specific business outcomes.
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Simulation Tools
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Comprises of simulation tools intended at identifying right equipment or parametric changes to virtually achieve the desired output.
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Reviews
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The Technology Readiness Level (TRL) indicates the maturity level of novel technologies. Learn more about the TRL scale used by us.
[9/9]
Relative Business Impact
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Last Deployment YearTotal DeploymentsComment