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Aspen Mtell and the Industrial Internet of Things

Learn how Aspen Mtell connects big data and prescriptive maintenance to deliver IIoT solutions.

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ARC Industry Forum 2020: Predictive Maintenance Fact and Fiction - Learnings from Real Implementations

This video is from the ARC Industry Forum 2020: Predictive Maintenance Fact and Fiction - Learnings from Real Implementations Workshop presented by Chris Williams, Director, Customer Success, Aspen Technology, Inc.

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Aspen Mtell: Prescriptive Maintenance for the Transportation Industry

See how Aspen Mtell prescriptive maintenance prevents catastrophic diesel engine failures.

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Compitiendo en un nuevo panorama global

Vivimos y trabajamos en un mundo que es cada vez más volátil, incierto, complejo y ambiguo. La industria energética, y la industria petrolera en particular, está en un punto de inflexión en que la sociedad desafía su capacidad para operar. Vea en este video al Presidente y CEO de AspenTech, Antonio Pietri, mientras comparte cómo las tecnologías avanzadas están desbloqueando ideas que nunca antes habían sido posibles y creando oportunidades para generar valor y crecimiento. Incluso en las operaciones comerciales más adversas.

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Pipe Flow Hydraulic Analysis- Application Overview

In a market where operational improvements are favored over new construction; pipe flow hydraulic analysis helps achieve incremental improvements that optimize pipeline flow and uptime. Aspen HYSYS Hydraulics for pipeline network modeling allows engineers to analyze flow assurance risks, and integrate this analysis with process models to optimize from the well head through the process facility. Watch this video to learn more.

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Competing in a New Global Landscape

We live and work in a world that is increasingly volatile, uncertain, complex and ambiguous. The energy industry, in particular, is at a turning point as society challenges its ability to operate. Watch AspenTech President and CEO Antonio Pietri as he shares how advanced technologies are unlocking insights and creating new opportunities for value creation and growth, even in the most challenging business conditions.

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Dynamic Studies - Application Overview

The findings of Dynamic Studies are valuable for ensuring process safety, operability, and controllability. Gain Dynamic insights with Intuitive Setup with the trusted accuracy of Aspen HYSYS Dynamics and accelerated dynamic model development with existing steady state models. Watch this video to learn more.

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Competindo em um Novo Cenário Global

Vivemos e trabalhamos em um mundo cada vez mais volátil, incerto, complexo e ambíguo. A indústria da energia e do petróleo, em particular, encontra-se em um ponto de transição e a sociedade questiona sua abilidade para operar. Veja o vídeo com ao presidente e CEO da AspenTech, Antonio Pietri, onde ele compartilha como as tecnologias avançadas estão revelando insights e criando novas oportunidades para criação de valor e crescimento, mesmo nas mais desafiadoras condições de negócios

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Sulfur Recovery Unit Optimization- Application Overview

Sulfur Recovery Units are crucial for meeting environmental requirements, but many struggle to conquer disturbances in the SRU that compromise compliance and incur additional operating costs. With Aspen HYSYS, you have access to a comprehensive solution for modeling the SRU and the full gas plant. Built on the Sulsim technology acquired from Sulphur Experts, the functionality includes 33 unit operations, a specialized fluid package, and several new innovations. Watch now to learn more.

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Convergence of AI & lloT: Accelerate your Industrial Digital Transformation

At CERAWeek 2021, Bill Scudder, Senior Vice President and GM of AIoT Solutions at Aspen Technology, discussed the convergence of AI and IIoT into a new paradigm: The Artificial Intelligence of Things or AIoT. He described how a variety of market forces are putting increased pressure on operators to improve their operational efficiency. These forces include economic, sustainability, workforce and technology. Bill illustrated how industrial AI is defined by three domains, software at scale, data science/AI and domain expertise, and that, to be successful, Industrial AI solutions need to encompass all three domains. Finally, Bill introduced the vision of the Self-Optimizing Plant and the necessity of robust Industrial AI infrastructure to support it.

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