BHC3 Process Optimization *OLD*

Improving production yield of offshore platforms

BHC3 Process Optimization *OLD*

Improving production yield of refineries

BHC3 Process Optimization *OLD*

Improving production yield of petrochemical plants

BHC3 Process Optimization *OLD*

Improving production yield of LNG manufacturing

Increase process efficiency with machine learning

BHC3™ Process 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 Process 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.


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.



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


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


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


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


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


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

BHC3 Process Optimization Data Sources

BHC3 Process 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 Process Optimization applies machine learning techniques to predict yield parameters, identify quality problems and optimize operational settings.

Model-driven architecture for BHC3 Process Optimization

Proven results in weeks, not years

Get insights into BHC3 capabilities, enterprise AI best practices and highest-value use cases.
Understand BHC3™ AI Suite's capabilities, its model-driven architecture and test it against your company's sample data set.
Identify a high-impact business problem and collaborate with the BHC3 team to rapidly build an AI application that solves it.
Scale and deploy a tested BHC3 application into production. Incorporate user feedback and optimize algorithms to drive maximum economic value.

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