With polymer process modeling technology, engineers are empowered to develop new product grades faster, reduce energy costs, and maximize quality and throughput.  With AspenTech’s polymer modeling solution, improve production rates, yield, and quality through rigorous optimization of the polymer process. Watch now to learn more.

Set yourself up for success with better estimating earlier in the bidding process. Hear how estimators and process engineers are collaborating to automate handoffs and run a higher volume of scenarios for more accurate estimates.

During this free webinar, Elliott Robertson of Burns and McDonnell‚ will discuss automation of the front end workflow for an NGL plant expansion. Learn how aspenONE® Engineering integrates key functions earlier in the process. By bringing together critical data up front in conceptual design, engineers can meet project milestones, while delivering a more optimized, economically viable design.

While the oil and gas industry is making significant bets on a wide range of energy technologies, it is also focusing on digital technologies that promise to transform enterprises as fundamentally as in other sectors. Download the full report to learn more.

Learn why DeNovo chose to deploy aspenONE® solutions to maximize production output while drastically reducing operations and maintenance costs.

YPFB plays a vital role in the exportation of gas in South America. When production started to decline in two of Bolivia’s major natural gas fields, YPFB needed to overcome this challenge and still meet contractual obligations.

This infographic highlights the results from a survey to upstream industry executives on their use of data analytics, which was conducted by AspenTech and Petroleum Economist in April 2017.

During this free webinar, industry experts from Process Ecology will demonstrate how they apply Aspen HYSYS to develop optimal designs of gas gathering networks, while accounting for multiple constraints, to guide their clients in budgeting and pipeline construction scheduling.

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!

Aprenda cómo YPFB Andina aumentó su producción de gas utilizando una solución de modelo integrado que proporcionó un aumento en las ganancias por $ 280 millones en 1 año.