Siirtec Nigi increased their sulfur production from 50 to 90 tons per day using Aspen HYSYS Sulsim to simulate the case study and conduct a sensitivity analysis around their oxygen enrichment. The new process required minimal equipment changes and no additional downtime other than turnaround.

Linde Engineering North America monitors construction costs and progress using ACCE linked to 3D models driving down the cost of the estimate.

Learn how YPFB Andina was able to increase their gas production using an integrated model solution that was able to provide a $280M increase in revenue in 1 year.

Phillips66 improves estimating productivity by 85% and reduces estimating variability to +/-15% with a five year before and after analysis of estimates vs. completed projects. Download the case study to learn more.

Shell Oil Company is a global energy and petrochemicals company that produces natural gas, gasoline, oil, and many bulk and specialty chemical products for customers worldwide. Read this case study to learn how Shell’s Manufacturing Margin Optimization team uses AspenTech solutions and AWS Cloud to optimize its energy and petrochemicals business, including planning and scheduling applications.

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.