In-person on-demand session
Optimization of Facilities using Auto-Calibrated Hybrid-Based Digital Twins
ABOUT THE SESSION
Saad Kisra, the Global Head of Process Simulation at Schlumberger, brings over two decades of innovation experience across various roles and business lines within SLB. With deep expertise in developing digital solutions for both traditional oil & gas operators and emerging energy sectors—including CCUS, green hydrogen, and geothermal—Saad is a driving force behind industry transformation. A certified instructor in borehole acoustics and geomechanics, he played a pivotal role in the development and commercialization of the Sonic Scanner tool, now the market leader in Wireline sonic technology. He is now set to share his insights on optimizing facilities through Auto-Calibrated Hybrid-Based Digital Twins.
He will delve into the transformative impact of combining AI with physics-based simulation tools to create intelligent digital twins capable of modeling and optimizing complex energy facilities. These hybrid-based digital twins leverage real-time data and AI algorithms to mirror facility behavior with precision. A key advancement lies in their ability to auto-calibrate, significantly reducing setup time while ensuring high fidelity and operational reliability. This shift towards autonomous, self-correcting systems empowers operators to proactively manage assets, improve process efficiency, and support sustainable energy goals—all while lowering costs and enhancing adaptability in dynamic operating environments.
Key Topics-
1. A physics-based simulation tool with built in AI allows building digital twins to empower users to model and optimize energy processing facilities
2. New techniques to auto-calibrate this process models will save a lot of time and make these digital twins autonomous
For more on this conference or to access the session, reach out to us at [email protected].
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