Developing automated 3D models during pre-FEED and FEED can drive down material costs, enhance asset visualization and help identify an optimal design early, minimizing revisions in later engineering phases.

Learn how Generative AI within Aspen OptiPlant 3D Layout™ automatically produces multiple 3D layout options for a carbon capture plant within minutes instead of weeks.

Learn how a multinational energy company that was looking to improve integration and collaboration between engineers and disciplines across different locations, implemented Aspen Basic Engineering™(ABE).

Reactors are critical for any refinery, impacting both quality and yield of products. With the emergence of bio-feed and co-feed processing reactors, new challenges arise as operators are unfamiliar with feed streams, creating operational risks.

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Digitalization solutions offer significant efficiency improvements to existing assets as well as the planning and design capabilities to prepare for new technologies.

As sustainability targets drive the energy industry towards a net zero future and energy security concerns intensify, companies are challenged to meet these competing demands within financial and workforce restraints. Owners and EPCs must cater to short-term energy demands while simultaneously positioning themselves for the long-term energy transition projects gaining traction.

The data generated during conceptual design and FEED are quickly becoming more strategic. From understanding emissions and energy use to layout and project costs, owners and their engineering firms are placing more emphasis on early design choices.

Today’s ever-changing market demands require will a new coordinated, concurrent approach from EPCs and Owner firms under pressure to improve processes while delivering safer, greener, faster and more cost-effective projects. View this video to learn about AspenTech® Concurrent Engineering, a proven solution that facilitates simultaneous cross-functional design and execution of multiple projects, for faster delivery and faster time to value.

The construction industry had been slow to digitalize. The pandemic and growing need to find digital ways of communicating to bring together dispersed project teams and enable them to collaborate has changed all that. Construction firms that will succeed will be those that embrace advanced technology and the latest AI tools that drive operational efficiencies across the end-to-end value chain.