News Article

Three Ways To Overcome Industrial AI Roadblocks

Forbes Tech Council - Three Ways To Overcome Industrial AI Roadblocks

News Article

What you need to know about industrial data scientists — as told by an industrial data scientist

VentureBeat - What you need to know about industrial data scientists

On Demand Webinar

AspenTech and AWS: Scale Predictive Maintenance Quickly and Easily in the Cloud

As oil and gas companies continue to navigate market volatility, high equipment reliability remains vital to meeting changing demands. AI-powered predictive maintenance combined with low-cost cloud platforms helps organizations not only maximize equipment availability, but also control costs and advance sustainability goals.

On Demand Webinar

Addressing Key Technical and Economical Challenges of Carbon Capture Technology

Technology Centre Mongstad (TCM DA) is the world’s largest open access test center for carbon capture technologies. It is located next to the Equinor refinery in Mongstad, Norway, which is the source of two types of flue gases supplied to TCM’s carbon capture demonstration plant. Since TCM inauguration in 2012, testing has provided valuable learnings and experiences needed for the widespread growth of the CCS industry.

On Demand Webinar

Digital Excellence for Engineering Design - Seamless Integration between Aspen Basic Engineering™ & Intergraph Smart P&ID

This video demonstrates how AspenTech and Hexagon have brought together the two worlds of process engineering and detailed engineering by integrating the world’s leading conceptual and detailed design tools. The seamless data transfer from Aspen Basic Engineering™ to Smart P&ID accelerates project deliverables by enabling reuse of data, eliminating manual transcription and data inspection while fosters collaboration between various disciplines.

Blog

The Scalar Impact of Prescriptive Maintenance on Haul Truck Reliability and Productivity

With the high commodity prices in the current market, mining companies are in an optimal position to take advantage of advanced and highly scalable technologies such as prescriptive maintenance.

Live Events

26th Annual ARC Industry Forum

June 6-9, 2022 - Orlando, Florida Join us at this year’s ARC Industry Forum—either in person or online—to learn how today’s digital solutions help you achieve operational excellence while addressing your increased focus on sustainability and the circular economy. You’ll have the opportunity to meet with our experts, share your unique challenges and discover how industrial AI-powered technologies drive significant, measurable gains across your operations.

On Demand Webinar

How Heide Refinery Maximizes Middle Distillate Profitability with Dynamic Optimization

As one of Europe’s most complex refineries, Heide Refinery looked to optimize its entire middle distillate system to maximize product quality and reduce giveaway. Given recent market volatility, Heide planned to further improve its operational agility to respond faster to changing conditions.

Blog

Digital Supply Chain Optimization Trends in Refining and Chemicals Industries

This conversation provides perspective and insights on planning, scheduling and optimization project trends in the refining and chemicals industries.

Executive Brief

Lograr mejores resultados de diseño y sustentabilidad con Concurrent Engineering

Los datos generados durante el diseño conceptual y FEED se están volviendo cada vez más importantes desde un punto de vista estratégico. Desde la comprensión de las emisiones y el uso de energía hasta una comprensión más completa del diseño y los costos del proyecto, los propietarios y sus empresas de ingeniería están poniendo más énfasis en la comprensión temprana de las opciones de diseño. Pero con la complejidad de los proyectos de diseño, el desarrollo de información que es tan importante a menudo puede ser lento, ineficiente y propenso a errores. Lo que se necesita es un proceso colaborativo más integral, respaldado por herramientas digitales que ayuden a fomentar una creciente sabiduría colectiva sobre el proyecto, a través de disciplinas y partes.

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