BHC3 Predictive Asset Maintenance

预测阀门的设备故障

BHC3 Predictive Asset Maintenance

Predict equipment failures for compressors

BHC3 Predictive Asset Maintenance

预测泵的设备故障

BHC3 Predictive Asset Maintenance

Predict equipment failures for rotating equipment

预测未能改善维护和规划的风险的资产

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.

特征

资产故障预测

根据实际操作条件和资产绩效细节,评估设备故障的概率和影响,以高度的置信度和一致性。

Visualization across portfolio

在投资组合中查看资产,并通过地理空间视图进行钻取分析;构建关于关键业务和操作尺寸的资产风险的可定制报告。

Asset-level diagnostics

识别并诊断影响个人资产失败的条件;将个别设备调查结果推向完整的资产投资组合。通过资产层次结构的粒度级别分析资产。

Maintenance prioritization

Prioritize equipment maintenance work by leveraging machine learning–based risk scores. Launch work orders directly through the BHC3 Predictive Asset Maintenance application.

资产续订规划

将个别设备维护需求集中在资本投资,设备更换和工作管理中的产品组合规划中。探索预建和临时资产风险报告。

Asset health monitoring

积极评估实时资产健康,以及故障预测,维护费用预测和潜在资本支出。通过不同的时间间隔和可配置风险指标评估资产健康趋势。

资产利用率监测ing

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.

风险管理

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.

Testimonials

Daniel Jeavons
Dan Jeavons

Dan Jeavons

GM Data Science

“我们的数据科学专业知识和软件开发专业知识的结合,C3.ai带来的真实强大。”

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.

优化

优化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 theBHC3™ AI Suitefromsensor networks,智能设备和企业系统,以生成关于设备性能和健康的准确预测。设备可以在任何用户指定的级别分析,从各个设备到实际情况。资产风险评分,作为资产衰竭的概率和影响的函数,利用行业领先的机器学习算法来开发精确的设备预测,超出了传统资产分析方法的能力。BHC3预测资产维护为运营商提供了管理设备风险和可靠性的定量和一致方法,最大限度地减少了意外的停机时间,减少了意外的资本支出。

BHC3模型驱动的BHC3预测资产维护架构

Demo

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