The game changer

Engineering software enables designing for the deep

As operators seek ongoing investment and replacement of assets for the stability of hydrocarbon markets, what is next in LNG and beyond? How do firms rise to the top of the class in terms of returns on exploration investment, instead of bottom of the barrel? This article talks about how Industry leaders bring all aspects of an asset development into concurrency—from exploration to reservoir studies to engineering design to construction and operation—and the use of digitalization, technology and big data.

In the Pharma Times article “Working in Silos” AspenTech’s Justin Eames discusses the pitfalls of working in silos in the pharmaceutical industry and explains how AspenTech’s solutions can make an impact at speed using predictive analytics. Discover how to predict asset degradation and failure well in advance of an impending breakdown or disruption and gain the ability to make decisions that can not only minimize cost and disruption, but that can also protect public health by ensuring continuity and resulting quality of drug supply.

To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.

For metals and mining, a prescriptive maintenance solution marries the inherent knowledge of operations with existing process data to automatically create an alert when a failure will occur - reducing the time spent searching for root causes.

See how you can use Aspen Technology solutions to develop a refinery wide process model that would enable refinery process engineers to evaluate the economic impact of operational changes and help planners achieve a more accurate assessment of profit margins.

To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.

Leaders often wonder, where do we apply digital technologies to the challenges in our business? How can we chart our success? This uncertainty is understandable considering the technology’s complexity and rapid evolution, but understanding and integrating artificial intelligence (AI) is increasingly critical to competitiveness in the chemical industry.

The Aspen AIoT Hub underpins the Industrial AI strategy for all AspenTech solutions by supporting cloud-enabled AI apps, an integrated solution roadmap and a cloud convergence strategy.