Overview

Ansys Hybrid Digital Twins: Combining high fidelity models like CFD (computational fluid dynamics) and FEA (finite element analysis) with live process data​ to deliver on-line virtual sensors for better operational efficiency, safety and sustainability. Many applications in the process industry involve extreme environments where placing regular physical sensors is challenging or not possible at all. These are the very same environments where detailed system monitoring, control, optimisation and predictive maintenance are a must to avoid HSE risks, ensure yield targets, minimise operational costs and maximise uptime.

High fidelity models can provide a great deal of process insights, but execution runtimes have been prohibitive for online applications. This is no longer the case. ​This webinar will outline key elements of a hybrid digital twin, concepts and techniques, workflows and architecture, typical use cases and project plans. Most importantly, why you should care!

Speaker

Vitor Lopes, Senior Product Sales Manager, Ansys

Vitor is the Senior Product Sales Manager for Ansys Digital Twins. He is an experienced leader in digital technologies, passionate about identifying industry needs and translating them into meaningful digital solutions that increase safety, quality, efficiency and business value. Vitor brings over a decade of experience on the topic of Digital Twins from multiple roles and perspectives. During this time, he successfully envisioned, architected, initiated, developed, deployed, scaled and led several digital twin teams and programs, had several patents issued and industry papers presented on the topic. He is considered an SME in this sector.

Prior to Ansys, Vitor worked for Halliburton in a range of roles, including Global Technology Manager at Baroid Engineering Software and for ESSS, including a role as an R&D Engineer in Computational Fluid Dynamics in-house at the Petrobras Research Center. Vitor has a MSc and a BSc in Chemical Engineering from the Federal University of Rio de Janeiro, Brazil.

The material presented in this webinar has not been peer-reviewed. Any opinions are the presenter's own and do not necessarily represent those of IChemE or the Process Management and Control Special Interest Group. The information is given in good faith but without any liability on the part of IChemE.

Time

14:00–15:00 BST.

Software

The presentation will be delivered via GoToWebinar®. Check system requirements.

You are advised to join the webinar at least ten minutes before the scheduled start time, to allow for your computer to connect.

Webinar archive

This webinar is free of charge and open to all to attend, but if you wish to access the slides and a recording to replay on demand then you will need to be a member of the Process Management and Control Special Interest Group.