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Accelerating oil and gas operational innovation with digital engineering and AI
How can oil and gas companies use digital engineering and AI to accelerate innovation, improve engineering productivity, and optimise asset performance?
As operating environments become increasingly complex, engineering teams are under growing pressure to make faster, data-driven decisions while reducing operational risk and costs. Digital engineering, high-fidelity simulation, AI, and digital twins are creating new opportunities to transform how assets are designed, optimised, and operated across the engineering lifecycle.
Join industry experts at the upcoming webinar, powered by Energy Connects, to explore how organisations can integrate digital engineering and AI from early concept development and design exploration through high-fidelity simulation, design optimisation, and operational deployment.
The discussion will explore:
- What does an integrated digital engineering workflow look like across concept development, design exploration, simulation, optimisation, and operations?
- Where can AI and surrogate modelling have the greatest impact on accelerating design exploration and evaluating more alternatives?
- What role can high-fidelity CFD and multi-physics simulation play in generating deeper insights into complex physical phenomena?
- How can simulation, automation, and optimisation techniques improve designs while balancing multiple engineering objectives?
- How can AI, reduced order models (ROMs), and digital twins enable faster prediction, real-time monitoring, and optimisation of asset performance?

Dr. Mustafa Kaddoura
Energy Industry Team Lead – Staff CFD & AI Applications Engineer
Ansys, Part of Synopsys

Moderated by: Danielle Martin
Assistant Editor
Energy Connects