Overview
Oil and gas continue to serve as essential global energy sources. R&D investments are increasingly directed toward improving system reliability, strengthening asset integrity, and predicting failures earlier to reduce operating expenses and maximize uptime.
Join us to learn how modern AI-powered digital engineering tools along with high-fidelity multiphysics simulations enable oil and gas organizations to operate smarter, safer, and more efficiently, driving higher reliability and sustained uptime across the asset life cycle.
What Attendees Will Learn
- How AI‑driven modeling, automation, and digital twins improve engineering design, failure prediction and strengthen asset integrity.
- Ways high‑fidelity physics simulation enhances reliability, performance, and engineering decision‑making across facilities.
- How digital engineering reduces engineering effort, streamlines workflows, and accelerates analysis cycles.
- Practical strategies to leverage predictive insights to maximize uptime and lower operating expenses.
Who Should Attend
- Design Engineers: Learn how digital engineering, AI-driven models, and high-fidelity simulation improve system performance, reduce redesign cycles, and strengthen safety and reliability from day one.
- Operations Engineers: See how predictive insights, digital twins, and automated analytics help maximize uptime, enhance asset integrity, and support safer, more efficient daily operations.
- Engineering Executives: Gain a strategic view of how digital engineering and AI/ML initiatives strengthen decision making, improve multi site operational reliability, scale workflows, standardize processes, and ultimately reduce operating costs and risk.
Speakers
- Mustafa Kaddoura, Ph.D. - Energy Industry Lead, Staff Applications Engineer
Date / Time:
June 25, 2026
4 PM BST, 11 AM EDT
Venue: Virtual
- Cost:
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