Contextualizing equipment data to extend asset life and optimize performance is a major challenge of Asset Performance Management (APM), but the real hurdle is scaling.

Industrial organizations are increasingly focused on making operational data accessible across plants, business units and cloud initiatives—yet many data platforms struggle to scale without introducing complexity, cybersecurity risk and high operational overhead.

In today’s upstream environment, speed and clarity are everything. But traditional subsurface workflows—fragmented data, disconnected tools and time-intensive analysis—can slow decisions and increase uncertainty.

Upstream teams are under pressure to move faster, reduce costs and make better decisions with increasingly complex data.

In today’s volatile energy landscape, upstream organizations must make faster, higher-stakes decisions with fewer resources and increasingly complex data.

Contextualizing equipment data to extend asset life and optimize performance is a major challenge of Asset Performance Management (APM), but the real hurdle is scaling.

Are you looking to improve the reliability of your reservoir predictions and make more confident decisions?

Durante las primeras etapas de un proyecto, la precisión en la estimación de costos es fundamental para su éxito. Una estimación confiable permite comparar alternativas de diseño, evitar sobrecostos y optimizar el costo capital (CAPEX) desde las fases iniciales.

In this interview with Justin Eames, Solution Design Director at Aspen Technology, learn how AspenTech Asset Performance Management (APM) improves reliability, reduces unplanned downtime and standardizes best practices across the enterprise.

As sustainability initiatives like carbon capture move to the forefront, engineering teams are being asked to deliver FEED proposals faster—without sacrificing accuracy, scenario evaluation or early cost visibility.