Petro Rabigh wanted to improve margins for refinery products, to do so, they needed to identify the most optimal production yields and qualities of their refinery and petrochemical products.

In this case study, learn how Corteva Agriscience, an American agricultural chemical and seed company, resolved their frequent reboiler shutdowns by using Aspen Hybrid Models™. By combining plant data and AI within an Aspen Plus® model, Corteva improved the heat transfer and duty predictions to provide guidance for a better maintenance strategy.

Nissan Chemical was looking to optimize its ammonia manufacturing process and reduce operating costs. To do so, they needed to find a model that would enable them to simulate the behavior of a real plant.