As operational demands increase and margins tighten, it’s no longer enough to rely on traditional predictive maintenance practices. To stay competitive, companies must embrace a more integrated, proactive approach to Asset Performance Management (APM)—one that combines AI/ML, safety-first maintenance practices and smarter investment planning to transform asset management.

Are you struggling to extract meaningful insights from your industrial data using traditional PLS (Partial Least Squares) modeling techniques? It's a common challenge—despite scrutinizing scores, loadings and statistical parameters, achieving satisfactory model performance remains elusive.

Uncontrolled flare emissions are a costly economic and environmental risk for energy and chemicals companies. During this webinar, learn how Braskem Process Engineers investigated losses in a downstream column and used Aspen ProMV to quickly resolve the problem — saving >$1M a year in losses to flare.

Early returns from an ARC Advisory Group survey indicate that optimizing plant operations performance and eliminating process upsets are considered a critical component of asset performance management (APM) systems.

Leading chemical companies across the globe face more competitive pressures with volatile market conditions and a rapidly changing workforce pushing the demand for increased sustainability and profitability. Digital twin software offers new levels of operational excellence through enterprise-wide insights that drive improved business operations.

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.

Contrary to popular opinion, the journey to improve maintenance and asset performance does not need be an ordered, strict, logical set of steps. Rather, it is about knowing the right issues to solve at your site, and doing so with technologies that complement your assets.

As a leading synthetic fuel plant based in Qatar, ORYX GTL’s mission is to “add value to Qatar’s natural resources by applying innovative technology.” Reducing CO2 emissions and flaring at the world’s first-ever, commercial-scale Gas-to-Liquid (GTL) plant is key to supporting this mission. More specifically, the company is using advanced process analytics to achieve its ambitious operational goals.

Improving reactor uptime is an ongoing challenge for most chemical and petrochemical organizations. During this webinar, learn how Braskem Idesa process engineers leveraged the multivariate analysis of Aspen ProMV™ to significantly extend the time between reactor cleanings and reduce fouling 100%.

When Ferring Pharmaceuticals wanted to move from batch to continuous manufacturing, they found that laboratory assays were too time consuming to provide meaningful feedback for real-time control, and 100% product quality inspection was not possible.