Operators are under pressure to increase efficiency, reduce emissions, and maximize production from existing infrastructure while managing growing complexity and scrutiny. Traditional digital solutions often fall short, slowed by long deployment cycles, heavy data demands, and costly integration. Geminus offers a different path, combining the proven foundation of physics with the intelligence of AI. At ADIPEC 2025, where energy and intelligence converge, Geminus will demonstrate how physics-informed AI delivers measurable results by optimizing production, reducing emissions, and scaling intelligence across the energy value chain.
Geminus at ADIPEC 2025
As an AI Innovator in the AI Zone (Pod #14), Geminus is advancing the future of industrial autonomy through a fundamentally different approach that unites physics-based modeling and AI.
Our platform incorporates Physics-Informed AI (PI-AI) as part of a broader approach that blends physics-based modeling, scientific computing, and machine learning to optimize complex production systems in real time. Unlike traditional data-driven methods that rely on massive datasets or costly new infrastructure, our technology integrates seamlessly with existing operations, cutting deployment time by up to 100x and enabling rapid ROI.
This approach empowers operators to:
· Optimize production networks in real time
· Improve throughput and reliability across systems of systems
· Capture measurable results in weeks, not months, without new CapEx
We’re bringing a real-world success story to ADIPEC that illustrates the impact of our approach in a mature production environment with complex operational contstraints
In a live demo, we’ll walk through how it improved performance and control across a complex network.
In this 10-minute session, Rami Esbai, Manager of Innovation at Bapco Energies, and Andrei Gasic, Ph.D., Physics-AI Applications Engineer at Geminus, will demonstrate how PI-AI is being implemented across Bapco Energies’ existing production network in Bahrain to deliver practical network set-point recommendations in near real-time to maximize production.
Session Details:
· Leveraging Physics-Informed AI In Bahrain’s Mature Producing Assets to Maximize Production
· Date: 4 November 2025
· Time: 16:50 – 17:00
· Location: AI Zone
Beyond the live demo, visit the Geminus team at the booth and see how our technology is helping operators optimize production, reduce downtime, and make faster, smarter decisions across the enterprise. Visitors can experience how our approach is already delivering measurable results across the energy value chain, including:
· ESP wells and network – Production gains at the wellhead and in the gathering center
· Facilities – Updated set-points enabling autonomous control of complex refinery unit production was increased 7%
· Natural Gas Network – Maximize throughput while eliminating flaring, delivering double digit ROI in weeks without additional CapEx.
Join Us in Abu Dhabi
See firsthand how Geminus is redefining what’s possible in energy operations. Visit us in the AI Zone (Pod #14) to experience how we’re helping operators accelerate performance, eliminate inefficiencies, and move closer to industrial autonomy.