BHC3 Yield Optimization

Improving production yield of offshore platforms

BHC3 Yield Optimization

Improving production yield of refineries

BHC3 Yield Optimization

Improving production yield of petrochemical plants

BHC3 Yield Optimization

Improving production yield of LNG manufacturing

Increase Process Efficiency with Machine Learning

BHC3 Yield Optimization is an AI-driven application that applies advanced analytic techniques on operational and historical data to predict production yield and provides root cause analysis at various steps of a manufacturing process.

BHC3 Yield Optimization is operator-centric and action oriented, providing contextualized insights for real-time intervention. The application delivers insights in near real time and supports operator intervention to prevent waste, reduce safety issues, and optimize production yield.

Features

Executive dashboard

Provide an overview of product yield performance and top addressable issues.

Operator-centric view

Focus on high-priority issues and deliver insights to support intervention.

Advanced machine learning

Forecast emergent product yield issues at key process steps.

Unified process modeling

Develop process models for discrete and continuous processes, including product-level data aggregation.

Ad-hoc analysis capabilities

Enable process troubleshooting and root cause analyses across time horizons.

Benefits

Identify

Identify key process risk areas by forecasting specific product yield issues based on actual operational parameters.

Create

Create a unified data image by integrating with operational systems like SCADA and DCS, enterprise systems like Asset Management systems, and external sources.

Ensure

Ensure the use of actual process unit configurations in machine learning algorithm development.

Pinpoint

Pinpoint trouble areas with comprehensible machine learning-based product yield risk drivers that focus operators on trouble areas and support intervention.

Receive

Receive real-time insights and use robust prediction algorithms on streaming data to reduce or eliminate wait times for sample testing.

Update

Update process model optimizations and configure new analytics to identify and track new issue.

BHC3 Yield Optimization Data Sources

BHC3 Yield Optimization unifies data in the BHC3 AI Suite from operational systems like DCS, SCADA, PI, and enterprise software systems including SAP, Oracle, and custom-developed solutions to enable time-varying views of actual process conditions and configurations. With a holistic view of the manufacturing process, BHC3 Yield Optimization applies machine learning techniques to predict yield parameters, identify quality problems, and optimize operational settings.

Model-driven architecture for BHC3 Yield Optimization

Proven results in weeks, not years

timeline
Get insights into BakerHughesC3.ai’s capabilities, enterprise AI best practices, and highest-value use cases.
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