Learn how a major Middle East Refinery used AspenTech solutions to address operational issues with their crude distillation unit (CDU). This video highlights how the detailed hydraulic analysis capability in Aspen HYSYS, along with its seamless integration with the heat exchanger design & rating software Aspen EDR, helped the refinery troubleshoot a challenging operational issue with their CDU.

2019年1月15至16日，艾斯本公司在北京成功举办Aspen HYSYS® 软件在中国的首次用户认证培训，并于17日开展认证考试，共有69名来自中国某重要客户的工程师参与此次认证考试。 艾斯本用户认证为客户提供了一种标准的、结构化的方法，帮助客户衡量自己的专业能力并设定学习目标。该认证结合了行业的和标准化考试的最佳实践，由艾斯本专家设计而来。

Korean engineering and construction companies are relying on AspenTech tools for accuracy and agility in responding to their customers.

Rigorous simulation of crude distillation units (CDU) help refinery engineers make better operational decisions, effectively troubleshoot issues, identify operational improvement opportunities and update refinery planning tools. Learn how to use a CDU model in Aspen HYSYS to identify potential column operational issues using advanced visualization tools and determine the impact that feed crude changes have on yield and operations of the CDU.

For chemical and oil companies worldwide, digital capabilities will be critical to keep them flourishing in an increasingly global market. The challenge is how to channel all of their data into increased revenue and margin.

The shale gas revolution in the U.S. illustrates how a combination of influences can determine the success of accessing resources. A supportive political climate is not enough on its own.

Aspen Technology to Present at the KeyBanc Capital Markets 14th Annual Emerging Technology Summit

How organizations are succeeding with AI, machine learning, advanced analytics and similar technologies

Frustrated designing your column or understanding how process changes will affect your distillation unit operations? Many non-ideal distillation systems cannot be modeled accurately with equilibrium-based modeling. Rate-based modeling provides a more rigorous modeling approach for complex systems. Once tuned, rate-based models can yield better predictions at extrapolated operation conditions.

Digital technologies offer significant opportunity for improved quality and cost savings across the chemicals industry by enabling more efficient design, operation, and maintenance of assets throughout their lifecycle. However, many chemical companies are still in the early stages of understanding how such opportunities can be applied effectively to their business. This article highlights how top companies are using data to drive business and operational decisions, and are progressing with their own transformation to the next level of performance and operational excellence.