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Baker Hughes Cordant Process Optimization

Baker Hughes Cordant Solutions

Baker Hughes Cordant Process Optimization

Baker Hughes Cordant Solutions

Cordant™ PO improves operating margins by unlocking untapped throughput, yield & energy efficiency

Cordant™ Process Optimization combines AI-enabled software and expansive process optimization expertise enable solutions to improve production yield, quality, and overall system performance for process-intensive industries.

Cordant™ PO leverages a unique combination of data-driven process modeling, AI and advanced optimization techniques to continuously improve production rate, yield, energy efficiency, and overall operating margins for a wide variety of industrial processes. It provides real-time setpoints that empower operators to run the plant at its true potential. Cordant™ Process Optimization enables you to model, simulate and optimize in real-time for production and efficiency gains.

Process Modeling and Optimization: Develop non-linear process models leveraging pre-built templates to model complex processes. Rapidly deploy models in production and generate setpoints in real-time to optimize and predict gap-to-potential while ensuring that all process constraints are met.

Scenario Analyses and Simulation: Enable what-if scenario analysis by leveraging a user configurable optimization and simulation environment. The application provides an intuitive user interface for process and optimization engineers to run on-demand scenarios with different constraints, parameter values, and economics to simulate process and pricing changes.

Integrated data processing, model management, and ML Ops: Real-time data processing, management and alignment provides a robust backbone for all modeling and optimization tasks. Further, the cloud platform capabilities, model management, and ML Ops allow for end-to-end model performance monitoring, tracking and management in production deployment.

How Cordant Process Optimization Helps

· Actionable insights over traditional technologies: Proprietary and dynamic, non-linear Machine Learning models combined with domain expertise enable more intelligent plant operations.

· Improve model accuracy and reduce maintenance costs: Models adapt automatically to changing plant performance overtime, such as equipment degradation, catalyst performance etc.

· Streamline data integration: Increase team efficiency using Cordant™, a common, integrated suite of solutions that streamline process optimization and asset performance management.

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