Process simulation, cost estimation and 3D models are crucial to engineering projects, leading to better, more accurate designs. Now imagine seamlessly integrating these disciplines into one concurrent workflow for real-time collaboration that dramatically saves time and reduces costs.

AspenTech Industrial AI is uniquely different and presents a new opportunity for the process industries. It is leading-edge AI technology that delivers the agility to stay ahead of changing conditions, guides your workforce to maximize operational excellence and automates tasks to accelerate decision-making and deliver business insights.

Carbon capture is a critical lever for the hard-to-abate chemical industry. Feasibility for these new, innovative processes relies on technical and economic optimization.

Process safety remains a top priority for companies worldwide, but balancing CAPEX against the need to design safety systems for multiple emergencies can be challenging.

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.

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.

Advanced simulation tools are key to overcoming the challenges of the green hydrogen economy. Process engineers who leverage Aspen Plus® simulation software can optimize hydrogen production processes, boost efficiency and reduce costs.

Process safety remains a priority for companies, but balancing the design of safety systems to withstand risks against higher CAPEX costs is challenging. Accurate, efficient modeling of depressurization is key, especially in carbon-capture processes.

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

Optimizing chemical processes requires input from multiple disciplines – engineering, costing, safety and environmental. Evaluating these factors early in the design lifecycle significantly improves the quality of the design and reduces time spent collaborating across teams.