How Digital Engineering and AI/ML are Re‑Shaping Oil & Gas Industry 

Overview

Oil and gas continue to serve as essential global energy sources, even as operators work toward cleaner energy goals. To meet rising performance demands, 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 multidomain 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.