In conversation with Nima Yazdanpanah, founder and principal of Procegence, an on-demand modeling and simulation, implementation services and training consultancy

Roch Gauthier, Sr. Director of Product Management for Aspen Technology, highlights four key business processes present in chemicals companies and their purposes.

AspenTech announced a partnership with Aramco, one of the world’s leading integrated energy and chemicals companies, to introduce a unique, integrated modelling and optimisation solution that will enable capital intensive industries to achieve practical and economic solutions for Carbon Capture and Utilisation (CCU).

In an exclusive interview, AspenTech experts share insights on current challenges faced by the chemical industry, sustainability investments, co-innovations, role of DeepTech, and balancing sustainability and innovations to be profitable.

A conversation with Ann Bixby, Supply Chain Advisor and Team Leader in AspenTech Global Professional Services

Aspen Economic Evaluation 제품군은 공정 자산의 수명주기 전반에 걸쳐 신속하고 정확한 원가산정과 프로젝트 수행을 위한 통합 솔루션을 제공합니다.

To turn a waste oil handling site into a seaside residential and commercial gem, it was necessary to assess the near surface. This case study explains how Aspen RMS™ geologic modeling software was used to conduct a geological analysis of the area through an integrated geological modeling process.

Aspen RMS™ reservoir modeling software was used to improve a model of the Heidrun field in the Norwegian North Sea, to help create a reservoir management strategy and increase production. A precise and watertight model accommodated all available data and geological complexities.

A recent study from McKinsey highlighted that every organization has some degree of technical debt—stymieing important digitalization journeys.

This video showcases the streamlined workflow enabled by AspenTech Concurrent Engineering applied to a carbon capture project. The workflow enables the creation of state-of-the-art process simulation, equipment design, economic analysis, conceptual 3D layout generation, reliability analysis for equipment redundancy and data centric FEED deliverables. Through this demonstration, you will learn how to benefit from seamless data sharing across disciplines, increasing efficiency, minimizing estimation uncertainties and ensuring consistency in deliverables during project execution.