Predict equipment failures for valves
Predict equipment failures for compressors
Predict equipment failures for pumps
Predict equipment failures for rotating equipment
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.
Global oil & gas leader creates a predictive maintenance application for valves
Learn moreImproving well availability and productivity
Learn moreAI Predictive Asset Maintenance for Electrical Submersible Pumps
Learn morePredict oilfield equipment failure and improve maintenance
Learn more"The combination of our data science expertise and the software development expertise that C3.ai brings is really powerful."
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.
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