Energy Production

• Conduct studies on system viability and grid integration
• Acquire and analyze a vast amount of data in real-time
• Leveridge machine learning and deep learning techniques to develop optimization algorithms
• Create predictive maintenance algorithms tailored to the architectural and operational profile of the equipment
• Leverage machine learning and ‘Big Data’ to quickly perform fault detection and diagnosis faster and better monitor processes.
• and deploy advanced predictive control (APC) strategies, perform dynamic simulations and implement MPC at any plant.
• Model and design drilling equipment
• Extend the lifespan of oil and gas reserves with modeling
• Implement Model-Based Design to reduce development time by 50% or moreDetermine optimal drilling locations with seismic data analysis

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• Gain an understanding of the extent to which corrosion could occur over the lifetime of a structure.
• Simulation of all electrochemical corrosion processes, such as galvanic, pitting, and crevice corrosion.
• Model corrosion protection.
• Understand processes, phenomena, and designs of reacting systems
• Create, inspect, and edit thermodynamic functions, chemical equations, transport equations, and kinetic expressions.
• Studying different operating conditions and designs of reacting systems and transport phenomena.
• Use mathematical and numerical methods adapted for optimization and parameter estimation of chemical systems.

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• Develop, tune, and test controllers and components
• Test and analyze renewable integration, extensive utility grid simulations, and control equipment before deployment.
• Test and validate equipment throughout all stages of development in real-time with Hardware-in-the-Loop.
• Execute digital twins of any hardware components in real-time target machines.
• Ensure that all the electronic control units’ functionality, safety, and certification requirements are met.

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