AspenTech is thrilled to be a Gold Sponsor for this year’s event April 6-10 in Dallas. Our experts are looking forward to meeting you at booth #715!

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.

The upstream industry is facing the daunting challenge of producing secure, sustainable and affordable energy for the world’s current and future needs.

Accuracy in cost estimation is crucial for the success and feasibility of capital projects. Yet cost estimates often involve uncertainty and unforeseen circumstances that can negatively impact the project timeline and budget.

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.

Delivering energy transition projects on time and on budget requires tight collaboration across multiple disciplines to synchronize various deliverables.

Learn how AspenTech University can help organizations to navigate challenges and compete at the highest level with our end-to-end competency development curriculum. AspenTech University offers flexible, expert-led classes that teach the in-depth knowledge and skills required to fully apply AspenTech solutions. Learn by solving real-world problems through hands-on exercises.

As the world races to achieve sustainability goals, capital projects are critical to ensure a green future, just as electrolyzers are vital to hydrogen production and accelerating decarbonization efforts.

Cost estimation is one of the key aspects of any engineering project, as it provides the basis to decide the feasibility and budget for the project. Yet cost estimation is often enclosed by uncertainty since during early engineering stages there is still very little information available. How can engineering teams find the most profitable designs when the project is still under development?

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