La misión de AspenTech es acelerar la transformación digital de las industrias a las que servimos optimizando sus activos para que funcionen de manera más segura, ecológica, prolongada y rápida.

The upstream oil and gas sector has faced a variety of challenges such as unpredictable oil prices, changing patterns of demand and ensuring safe working conditions at remote sites. Accelerated digitalization programs, particularly those that include digital twin technology, can provide agility and resilience to better handle future market uncertainty and lay the foundation for longer term competitive advantage.

Engineering, Procurement and Construction (EPC) firms with a large presence in the process industries are preparing for a major disruption to their business. The now inevitable scaling back, delaying or cancelling of projects will have a tremendous effect on these companies. A top priority for EPCs, which typically operate on very thin margins and own few assets, will be preserving cash.

在全球范围内，各领先组织正在接纳并实施先进的数字化技术。数字化转型之旅将改变资产密集型行业（尤其是能源和化工企业）的性质。在这种情况下，数字孪生（实物资产及其操作行为的虚拟副本）将发挥关键作用。对于今天我们创建的数字孪生，一个关键概念是人工智能在提供虚拟数据相关见解和建议方面的作用。

Learn how to save on energy, CAPEX and OPEX by improving the fidelity of your process simulation flowsheets using rigorous heat exchanger models. Now it is easier than ever to generate rigorous heat exchanger models from Aspen HYSYS using the Activated Exchanger Design & Rating capability.

In this white paper, plant managers, engineers and supervisors can learn the different ways simulations models can be used throughout the lifecycle of their plant. It focuses on seven areas you can use process simulation software (like Aspen Plus or Aspen HYSYS) for troubleshooting, process monitoring, and real time performance monitoring or real time optimization (RTO).

There is a challenge for many refinery and chemical companies to impove the analysis proess and raise performance. The inside story of operational intelligence lies in rich thin visualization and analytics capabilities that improve production execution, enabling process manufacturers to quickly identify and resolve operational issues.

アスペンテックは、第一原理に基づくプロセスシミュレーションモデルと専門知識をAIおよびアナリティクスアルゴリズムと統合するための手法を考案しました。その結果生まれたアプリケーションソフトウェアは、第一原理モデリングだけ、あるいはAIだけの場合よりも多くのことを達成できるハイブリッドモデリングシステムです。

Virtually all multinational, diversified chemical companies are expanding their emphasis on specialty chemicals. Competition is intensifying, resulting in both margin degradation and faster product commoditization while customers are further exacerbating the situation by demanding “faster, better and cheaper” products. Learn how to leverage production scheduling to improve customer satisfaction and further take advantage of flexibility inside the plant.

Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. This white paper describes five best practices for driving state-of-the-art reliability management to predict breakdowns months in advance—increasing production and profitability.