In today's industrial landscape, the ability to leverage data for safety and reliable plant maintenance is critical. But with so much industrial data from disparate sources, it’s difficult to gain the insights you need to achieve your operational goals.

The design and debottleneck of plants often require multiple iterations of engineering and capital expenditure (CAPEX) analysis. No matter how well an asset is designed, once operational, new variables come into play allowing for further optimization opportunities to arise. The handoffs between design, construction and operations bring new wrinkles to the entire system. What may seem like an inconsequential decision in one area may have a significant impact in another.

Interested in learning how digital solutions support end-to-end gas exploration and production to meet the increased demand for natural gas? Watch AspenTech’s Subsurface Science & Engineering experts discuss how you can optimize operations across your assets’ lifecycle to offset threats of sustainability and energy security.

You and your organization know that contributions from maintenance are key to improving operations and helping your company stay competitive. However, many teams are not yet taking advantage of the latest advances in asset performance management, or APM, to help make the right decisions to drive an effective maintenance strategy.

In this webinar, the second in our series of Asset Performance Management (APM) webinars for data scientists, learn how APM applications help data science teams rapidly design and scale new solutions. See how complex and time-consuming tasks such as feature engineering, state classification and best model selection are greatly streamlined—without building customized tools. AspenTech expert Ashok Rao focuses on solving complex reactor problems in the chemicals industry. Learn how Aspen Maestro™ for Mtell and ProMV® enables you to:

Disruptions in energy markets, lingering effects of the COVID-19 pandemic, conflict in Europe – all have added to the Energy Trilemma. Digital solutions are playing a critical role in identifying pathways to address the dual challenge of meeting the growing need for energy and resources while reducing emissions.

The Asset Performance Management (APM) space is evolving rapidly, and a key challenge for many plant teams is scaling and integrating APM solutions across their enterprise. IT and OT convergence also continue to drive the need for innovation.

With an increased focus on climate change and energy transition, companies are pivoting to more sustainable operations raising questions such as:

You’ve heard of Prescriptive Maintenance (RxM), but how can you leverage it to drive real value in your organization? In this on-demand webinar, AspenTech’s Ryan Conger demonstrates how data-driven insights from AI and machine learning mitigate maintenance issues and improve productivity. Through a series of case studies, Ryan shows how Prescriptive Maintenance is being used to:

As the hydrogen economy continues to gain momentum, organizations are looking for faster, more efficient ways to design and deploy hydrogen projects. Growing pressure to meet sustainability targets is only increasing the demand to make these initiatives both viable and profitable.