Oil production and processing facilities across Asia face mounting pressure: aging infrastructure, rising water cuts, variable feedstocks, and stringent energy and reliability targets.

Oil refineries are complex operations with tight margins, constantly adapting to changing crude types and product demands. Rigorous process simulation software like Aspen HYSYS® provides vital insights to manage these challenges effectively.

In today’s ever-changing upstream environment, companies must operate with greater agility to meet market demands, maximize margins and save energy.

At a time when industries are under increasing pressure to drive efficiency, lower emissions and adapt to rapidly changing demands, AspenTech V15 is purpose-built to meet these critical challenges head-on.

Accessing real-time operational data from your operating assets is just the first step.

Access to operational data is only the beginning—turning that data into meaningful insights requires the right tools.

Faced with new levels of complexity, disruptions and pressure to meet customer demands, chemical supply chains have been tested as never before in recent years. In addition, there is the growing challenge to achieve net-zero targets while maintaining sustainable, profitable operations.

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.

Discover AspenTech Inmation, a cutting-edge industrial data fabric designed to optimize data-driven operations.

Mandated to aggressively reduce emissions, today’s refining and chemical companies must also find new ways to improve energy efficiency and—in turn—margins. The sooner owner/operators uncover opportunities for improvement, the faster they can advance operational excellence goals.