See how refineries can keep their profit margins high by maintaining their planning models up to date, in the face of changing operating conditions, using capabilities built in Aspen HYSYS.

In this guide, you will be introduced to the tools in BLOWDOWN that can be used to perform staggered blowdown analysis. You will configure a simple analysis by using the Staggered Analysis tool, as well as a rigorous analysis using the Multi-Vessel Template.

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.

Energy is often the largest operating expense after raw materials for refining and petrochemicals companies, frequently starting out at over 50 percent of operating costs prior to energy reduction programs. Managing and optimizing these energy costs are critical capabilities for a refinery to meet profitability and sustainability targets. This white paper details the journey Bharat Petroleum Mumbai Refinery (BPCL-MR) in Mahul, India underwent to improve operations while optimizing energy costs.

In this episode of the ESG Decoded Podcast, Paige Morse, Industry Marketing Director at AspenTech, chats with Amanda Hsieh on the connective tissue between Artificial Intelligence (AI) and sustainability. AI is a key driver in the achievement of ESG goals as it supports the software capability that can help improve operations and make processes safer for people and the environment. Paige also explains the concept of Industrial AI. ESG Decoded Podcast is powered by Global Affairs Associates.