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Reduced Order Models (ROMs) for Simulation Democratization and Digital Twins

2019年8月21日

11:00 AM - 12:00 PM EDT

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Online

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CFD analysis generally takes a long time and requires significant computational resources, which makes it difficult to perform real-time monitoring or predictive maintenance. In addition, prior knowledge/experience is required to set up CFD simulations and extract meaningful results. Reduced order models (ROMs) can significantly speed up the process and make simulations easier. A ROM is a simplified version of a high-fidelity computational model that preserves essential behavior and dominant effects while reducing the solution time and computational storage capacity required. In this webinar, a series of ROMs will be shown, along with the workflow to create the ROMs. These examples will highlight how ROMs can be used by operators/non-simulation experts to perform ‘what-if’ analysis within seconds without compromising on accuracy.

Presented by: Anchal Jatale, Oil & Gas Industry Lead, ANSYS
Anchal Jatale is currently serving as North America Oil & Gas Industry lead for ANSYS. He has 10+ years of experience in CFD modeling and simulations. For the past couple years, he has been spearheading ANSYS digital twin engagements in the O&G industry. His expertise is in reduced order modeling, system modeling, reacting flow, combustion and multiphase flow. Prior to joining ANSYS, he received his doctorate in chemical engineering from the University of Utah.

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