On Demand Webinar

How OCP Ecuador Reduces Maintenance Costs 25% with Prescriptive Maintenance

For pipeline operators, unexpected outages can add a significant financial impact to an already strained supply chain along with environmental, health and safety risks. It’s more crucial than ever to ensure high asset reliability to help meet market demands and sustainability goals. AI-powered predictive maintenance solutions provide early and accurate warnings of potential failures to address this critical challenge.

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Navigating the Sustainability Shift in Capital Projects

With an intense focus on decarbonization to achieve net zero, Engineering, Procurement & Construction firms (EPCs) and their clients will need to reallocate capital to take advantage of this new opportunity, raising questions such as:

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Solving the Complexity of Energy Security and Sustainability with Digital Technology

With the rapid escalation of energy prices and geopolitical risk in Europe, energy security has moved to center stage. At the same time, energy and chemical companies need to innovate and transform their business strategies to meet sustainability and profitability goals. Digital solutions are emerging as a strategic tool to help organizations navigate volatility, both short and long term.

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Webinar with Plant Services: How Autonomous Agents are Revolutionizing Conventional FMEA

For reliability engineers, Failure Modes and Effects Analysis (FMEA) is a step-by-step process for identifying and tracking the various ways an asset or equipment can fail. But despite its merits, FMEA is labor intensive, typically used only for critical equipment and does not sufficiently use data to improve its capability.

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Industrial AI in Action: Improve Reactor Operations with Unprecedented Simulation Accuracy

Reactor operations continue to be critical for today’s refineries, but reactor simulation solutions have traditionally been difficult to use and maintain. The problem is magnified as experienced engineers and operators retire at a faster rate.

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The Future of APM 4.0 – Beyond Maintenance to Performance and Sustainability

A recent study by industry analyst firm Verdantix found that 56% of respondents believe that asset performance management (APM) is essential to business success, but few have executed on APM strategies and documented the business value. While APM has traditionally been the domain of maintenance and reliability engineers, its place within process-intensive industries is evolving.

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Hybrid Models in Energy: Leveraging Industrial AI to Overcome Operational Challenges

A breakthrough innovation, Aspen Hybrid Models™ help energy companies quickly develop comprehensive, accurate models to address the most complex operational challenges. With the release of aspenONE® V12, Aspen Hybrid Models leverage the power of AI without engineers requiring data science or machine learning expertise—truly democratizing the application of Industrial AI.

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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.

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Optimize Hydrogen, Improve Margins with Dynamic Optimization

Hydrogen is an essential yet often limited resource for refiners, with demand increasing due to processing of renewable feedstocks. In addition, hydrogen production is very expensive, particularly with the recent rise in natural gas prices and the significant, costly CO2 emissions it generates. Now more than ever before, refiners need an effective way to manage the hydrogen supply-and-demand balance.

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Managing Asset Health by Combining Behavior Patterns with FMEA

As it relates to asset reliability, Failure Modes and Effect Analysis (FMEA) is a process to identify potential failures in a system as well as their causes and effects. By combining predictive maintenance technology with FMEA tools, companies can associate causation with known failures and their suggested FMEA remedies – leading to earlier intervention, minimized equipment damage, fewer process interruptions and improved production yields.

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