Watch this video demonstration to learn more about how Aspen Mtell can help you enhance performance monitoring and energy efficiency.

Learn how AspenTech University can help organizations to navigate challenges and compete at the highest level with our end-to-end competency development curriculum. AspenTech University offers flexible, expert-led classes that teach the in-depth knowledge and skills required to fully apply AspenTech solutions. Learn by solving real-world problems through hands-on exercises.

Unexpected disturbances and shutdowns can severely impact any manufacturing facility. The AspenTech APM 4.0 portfolio uses agents that can be replicated quickly and easily across all plant assets to assure production and avoid unnecessary maintenance. Learn how APM 4.0 delivers an all-inclusive approach to efficiency, productivity and safety to support operational excellence in plant operations and the bottom line for manufacturers.

Mining companies are at different stages of their digitalization journey with many struggling to create timely, actionable data from varied, often siloed sources—with different data types, in different formats, delivered by different technical protocols. Department heads need a holistic, integrated solution to make the most informed decisions for plant, machinery, sensing equipment and software, regardless of a vendor’s proprietary data formats. Learn how AspenTech’s unique integration layer empowers mining companies to choose and implement truly best of breed technology with a minimum degree of complexity as the operation scales to create automated or semi-automated data and process workflows.

Learn how the Hydrogen Economy Sustainability Pathway can make key digital technologies easy to adopt for supporting innovation, execution and scaling of hydrogen projects across the value chain, from renewables to hydrogen production, to storage and delivery of hydrogen, to end use.

This video showcases the streamlined workflow enabled by AspenTech Concurrent Engineering applied to a carbon capture project. The workflow enables the creation of state-of-the-art process simulation, equipment design, economic analysis, conceptual 3D layout generation, reliability analysis for equipment redundancy and data centric FEED deliverables. Through this demonstration, you will learn how to benefit from seamless data sharing across disciplines, increasing efficiency, minimizing estimation uncertainties and ensuring consistency in deliverables during project execution.

Enter the era of autonomy and take the first steps to the self-optimizing plant – a self-learning, self-adapting and self-sustaining operation driven by industrial AI that will start your industrial metaverse journey and help you thrive in any market condition. Watch this video to learn how you can start realizing this vision today.

Transform your mining operations with a prescriptive maintenance solution that empowers mine management to identify problematic performance trends well in advance of a failure and prescribes adjustments to operations or maintenance schedules to prevent those failures from occurring. See how AspenTech’s prescriptive maintenance solution and over 40 years of innovation, leadership expertise can work for you.

A discussion between Aspen Technology Product Marketing Manager Pratibha Pillalamari and Evolution Mining Head of Asset Effectiveness, Paul Robbins at the IMARC 2022 Conference in Sydney, Australia.

Plant engineers often face disjointed workflows and a lack of critical information to make quick, informed decisions when troubleshooting equipment issues. Now, with the Alert Manager functionality within Aspen Mtell®, engineers have access to a centralized interface that allows them to identify the cause of the problem and prioritize the equipment criticality and failure mode severity for any alerts in queue through an interactive risk matrix. View this video now and discover how Alert Manager can help you to focus on the most critical issues, enabling you to improve equipment performance and increase profitability.