Las empresas de energía y productos químicos siempre buscan reducir el CAPEX mientras aceleran los proyectos en facilidades existentes. La nueva tecnología de AspenTech de diseño 3D conceptual OptiPlant, integrada con otras herramientas de estimación y simulación de procesos, puede reducir el tiempo de análisis de alternativas a la mitad e identificar de la forma más rápida el mejor diseño y así poder ahorrar hasta un 30% en CAPEX.

Petroleum refining planning and scheduling models created using Aspen PIMS™ and Aspen Petroleum Scheduler are essential for making key decisions regarding feedstock selection and refinery operating conditions that affect refining profit margins. Engineering simulations in Aspen HYSYS® Petroleum Refining can help improve the accuracy of the planning and scheduling models to increase refining profit margins. View this on-demand webinar to gain an understanding of how to improve petroleum refining margins with better collaboration among Engineering, Planning, and Scheduling groups.

Gain consistent, reliable process design results across your organization with state-of-the-art physical property data. Learn how to leverage Microsoft Excel to deploy properties analysis inside your organization with the Aspen Properties® Excel add-in, providing you with property data right at your fingertips.

Based on our recent survey, 40% of upstream companies are currently using data analytics to improve operational effectiveness. Hear Ian Lewis and Justin Jacobs from Petroleum Economist present insights from this survey of upstream industry executives during this on-demand webinar. The webinar also includes case study examples of upstream companies reducing production costs using data analytics. Find out how predictive modeling and machine learning are revolutionizing oil and gas asset economics and reducing production costs. Don’t get left behind—watch now!

J.M. Huber has been leveraging Aspen Collaborative Demand Manager™ to improve forecast accuracy for over 3 1/2 years. During this webinar, Deborah Morris, supply chain process improvement and demand planning manager at J.M. Huber, will share how they evolved their demand planning process, leveraging demand segmentation analysis and other advanced forecasting techniques. The company also worked closely with the sales organization in a coaching and advisory capacity.

Acid Gas Cleaning en Aspen HYSYS V8 permite a las Plantas de Gas acceder a oportunidades de optimización sin precedentes. En este webinar gratuito, aprende porque la tecnología única de modelado de torres del software la convierten en la mejor de la industria.

Understanding the dynamic behavior of equipment and processes as a result operational changes and emergency scenarios can unlock opportunities to save CAPEX and OPEX — while also ensuring safe and controllable operations. Aspen HYSYS Dynamics, with its trusted accuracy and built-in workflows and templates, can enable you to prevent damage with reduced risk of compressor surge, design the controls to optimize column operability and much more!

Are you a new estimator and want to start using Aspen Capital Cost Estimator™ (ACCE) software? Are you an existing estimator and want to perform estimates faster with more accuracy? Spend an hour with Luis Garcia, an experienced estimator, and learn how to improve your workflow speed, bidding accuracy and calibration processes using ACCE.

Manufacturing companies in all industries are utilizing manufacturing execution systems (MES) to reduce cost and increase productivity in real-time and drive operational excellence. During this webinar, you’ll learn best practices for centralized performance monitoring to improve plant productivity. Learn how to elevate the most important opportunities to add value across an enterprise, increase output and quality with real-time data analysis and process improvements, and successfully deploy MES solutions in the cloud.

Adaptive Process Control is primarily recognized for streamlining APC maintenance, however it is also very useful in new controller development. Eni shares their story on how they used Adaptive Process Control to build new APC applications faster and more efficiently than traditional methods, allowing them to achieve stable behavior in the presence of large model mismatch. "Seed" models were used to rapidly deploy controllers and accrue benefits immediately, all while minimizing disruption to operations.