BHC3 Predictive Asset Maintenance
Predict equipment failures for valves
BHC3 Predictive Asset Maintenance
Predict equipment failures for compressors
BHC3 Predictive Asset Maintenance
Predict equipment failures for pumps
BHC3 Predictive Asset Maintenance
Predict equipment failures for rotating equipment
Predict Assets at Risk of Failure to Improve Maintenance and Planning
BHC3 Predictive Asset Maintenance™ provides field operators and engineers comprehensive insight into production asset performance, delivering actionable recommendations to cost-effectively maintain a diverse, geographically spread portfolio of assets. With BHC3 Predictive Asset Maintenance, operations teams benefit from uniform and granular information to minimize lost production time, avoid safety and environmental incidents, and cost-effectively plan for maintenance and capital equipment projects.
Features
Asset failure prediction
Assess probability and impact of equipment failure with a high degree of confidence and consistency, based on actual operating conditions and asset performance details.
Visualization across portfolio
View assets across the portfolio and perform drill-down analysis through the geospatial view; build customizable reports on asset risk across critical business and operating dimensions.
Asset-level diagnostics
Identify and diagnose the conditions affecting individual asset failure; extrapolate individual equipment findings to the full asset portfolio. Analyze assets by class at granular levels across the asset hierarchy.
Maintenance prioritization
Prioritize equipment maintenance work by leveraging machine learning–based risk scores. Launch work orders directly through the BHC3 Predictive Asset Maintenance application.
Asset renewal planning
Aggregate individual equipment maintenance needs into portfolio-level plans for capital investment, equipment replacement, and work management. Explore prebuilt and ad hoc asset risk reporting.
Asset health monitoring
Proactively assess real-time asset health, along with failure predictions, maintenance expense projections, and potential capital expenditures. Evaluate asset health trends over varying time intervals and across configurable risk indicators.
Asset utilization monitoring
Continuously monitor asset utilization to identify underutilized assets, resulting in more efficient operations and capital investment planning.
Asset benchmarking
Track, benchmark, and rank performance of individual equipment based on probability and impact of equipment failure. Optimize capital, operations, and maintenance expenditures by identifying at-risk equipment and flagging for potential inclusion in investment planning projects.
Risk management
Understand the impact that a high-risk asset has on production, reliability, safety, and environmental goals. Create maintenance work orders to mitigate the chance of well downtime.
Case Studies
Control Valve Failure Prediction and AI Model Management
Global oil & gas leader creates a predictive maintenance application for valves
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AI for Predictive Maintenance of Progressive Cavity Pumps
Improving well availability and productivity
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Minimizing Production Downtime of High-Value Offshore Wells
AI Predictive Asset Maintenance for Electrical Submersible Pumps
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AI for Predictive Asset Maintenance of Oilfield Equipment
Predict oilfield equipment failure and improve maintenance
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Testimonials
Dan Jeavons
GM Data Science
"The combination of our data science expertise and the software development expertise that C3.ai brings is really powerful."
Benefits
Reduce
Reduce downtime due to early identification and resolution of equipment at high-risk of failure.
Lower
Lower operational costs by optimizing reliability-based maintenance and replacement instead of emergency replace-on-failure.
Optimize
Optimize capital expenditures by improving asset replacement decisions according to asset condition and predicted utilization.
Improve
Improve asset sizing by analyzing asset capacity based on field and operations data with similar production asset characteristics.
Enhance
Enhance safety due to a reduction in high-risk emergency repairs.
Data Sources
BHC3 Predictive Asset Maintenance aggregates terabyte-scale operational data in the BHC3 AI Suite from sensor networks, smart devices, and enterprise systems to generate accurate predictions regarding equipment performance and health. Equipment can be analyzed at any user-specified level, from individual equipment to wellsite to field. The asset risk score, calculated as a function of the probability and impact of an asset failure, leverages industry-leading machine learning algorithms to develop accurate equipment predictions, exceeding the capabilities of traditional asset analysis methods. BHC3 Predictive Asset Maintenance gives operators a quantitative and consistent approach to manage equipment risk and reliability, minimize unplanned downtime, and reduce unexpected capital expenditures.
