This paper discusses digital transformation in the oil patch. It explores how upstream industry leaders are capitalizing on the explosion of data and how, in particular, merging rigorous process models with both analytics and data visualization can help achieve a competitive advantage. It also reveals how innovations from AspenTech are helping to lead the way toward asset reliability and profitability.

advanced optimization, refinery planning software, optimal planning, petroleum supply chain, crude evaluation, integrated planning and scheduling

Globally coordinate and complete FEED deliverables sooner with more confidence in when using Aspen Basic Engineering. ABE V10 delivers improvements in access, adaption and execution.

Aspen Batch Process Developer™ is a recipe-based modeling technology for batch process scale-up, and is used for developing batch process models from early route selection to full-scale manufacturing.

With the new Aspen Operating Training, take advantage of the complete dynamic model lifecycle to deploy DCS agnostic, maintainable operator training sooner. Built with the Operator Training Simulator (OTS) Software from Inprocess Technology and Consulting Group, Aspen Operator Training combines OTS expertise with the trusted accuracy of Aspen HYSYS Dynamics for a solution that is seamless, easy-to-modify and rigorous. Train staff with confidence to speed up planned startup and shutdown, increase production and prevent safety incidents.

Here’s how the right technology can help manage the vast amount of complex data involved any large capital project.

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!

The fourth Middle East Process Engineering Conference & Exhibition provided plenty of insights on the future of refining and petrochemicals.