With current shortages in on-site staffing, many companies struggle to prevent unexpected breakdowns. AI and machine learning technology leverage precise pattern recognition from manufacturing assets to provide weeks, or even months, of advanced warning on imminent degradation and failures.

Las herramientas digitales pueden equipar a las empresas para responder a cambios sin precedentes. Conozca cómo la digitalización puede aumentar la resiliencia.

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.

As machines make more and more decisions, one obvious question needs to be answered: Are their decisions reliable?

Refineries are tasked with finding better ways to navigate today’s extremely disruptive environment. Many companies are operating under a “new normal”, characterized by extremely volatile markets, a depressed demand for products and a non-essential staff working remotely. In this on-demand webinar AspenTech experts share best practices to help you:

YPFB plays a vital role in the exportation of gas in South America. When production started to decline in two of Bolivia’s major natural gas fields, YPFB needed to overcome this challenge and still meet contractual obligations.

YPFB es la petrolera nacional de Bolivia y es un productor clave en la producción de gas en Sudamérica. Su producción empezó a disminuir drásticamente en dos de sus principales campos de gas en Bolivia por lo tanto YPFB necesitaba superar este problema para cumplir con sus obligaciones contractuales. En este webinar aprenda cómo utilizaron un gemelo digital de Aspen HYSYS para solucionar los cuellos de botella de su planta, ductos y estaciones de compresión lo que les permitió:

Economic, workforce and production transitions for chemical industry

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。

Automation dot com-How Manufacturing Can Attract the Best and Brightest Next Generation Workers