After the company identified uncommon operating procedures at each of its many refineries — which led to inefficiencies and lower margins — Shell launched “Enterprise First,” an initiative designed to standardize processes and technology across the organization. The key to driving this strategy — and meeting its objectives — is an integrated aspenONE® Supply Chain Management solution that helps Shell optimize refinery production, reduce costs and increase margin.

The upstream oil and gas sector has faced a variety of challenges such as unpredictable oil prices, changing patterns of demand and ensuring safe working conditions at remote sites. Accelerated digitalization programs, particularly those that include digital twin technology, can provide agility and resilience to better handle future market uncertainty and lay the foundation for longer term competitive advantage.

Extending one common estimating platform from conceptual engineering through detailed design optimizes CAPEX and minimizes estimating risk. Aspen Capital Cost Estiamtor is an integrated estimation tool from project start to finish that delivers optimized designs at the right cost, with less rewor. Watch now to learn more.  

What is a Digital Twin and what does it do? View this infographic to learn what a digital twin is and how it provides important insight on system performance enabling companies to optimize operations and reduce costs by maximizing uptime with real-time recommendations.

Aspen Collaborative Demand Manager for Refining empowers companies to combine historical data and market intelligence to generate and manage accurate forecasts.

Aspen Fleet Optimizer is an enterprise-wide solution for inventory management and truck transportation optimization.

Using AspenTech’s solutions for Environmental and Safety Analyses, engineers are empowered to reduce emissions and mitigate incidents. With aspenONE Engineering, harness the power of greenhouse gas tracking & overpressure protection in a design environment trusted for its accuracy. With this view, intuitively assess new process designs, over pressure analysis, and Greenhouse gas emissions with Utility costs & usage. Watch now to learn more.

Column Analytics gives one "X-ray vision" to see what is going on in a column to prevent process abuse and notify the operator of needed process changes before the column goes down due to flooding.

In this short video featuring Antonio Pietri, CEO Aspen Technology, discusses how the self-optimizing plant will be a self-learning, self-adapting, and self-sustaining operation.

In this podcast, Lee Nichols, Editor-in-Chief of Hydrocarbon Processing and Ron Beck, Marketing Strategy Director at Aspentech discuss HPI's digital transformation journey, the future of the self-optimizing plant and how digital technologies will lead to more efficient operations.