Batch modeling is easier than ever. See how batch modeling inside Aspen Plus v10 can help you design and optimize processes to reduce batch cycle times, optimize conditions for product quality, and accelerate scale-up for new products.

Dangote Refinery Standardizes on Aspen PIMS-AO

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!

Our Specialty Chemicals expert has over 30 years of working with chemical companies and has implemented over 150 scheduling models during his career. Learn what the top challenges a scheduler faces in the specialty chemicals industry, and why scheduling software is so important as complexity has increased inside the plant.

Aspen Technology Announces Financial Results for the First Quarter of Fiscal 2018

In this infographic, we present some of the specific results achieved by seven different companies using aspenONE, the most widely used software system in the upstream oil and gas industry. The measurable business value that these organizations achieve yearly is well over $1B USD.

Aspen Technology Announces Date of First-Quarter Fiscal 2018 Financial Results Release

AspenTech Receives Prescriptive Maintenance in Plant Asset Management PAM Software Market Award

Braskem, the largest petrochemical company in Latin America, has independently implemented several APC projects on ethylene units across their organization. Join Livia Tizzo, Process Control and Automation Engineer at Braskem, to see how Adaptive Process Control in Aspen DMC3 was used to improve their processes.

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.