aspenONE™ for Refining & Marketing
Maximize profitability by integrating and optimizing process engineering, plant operations, and supply and distribution for refiners, marketers, and distributors
aspenONE for Refining & Marketing delivers an integrated foundation for reducing costs and increasing throughput, while achieving safety and regulatory compliance. aspenONE for Refining & Marketing enables standardized work processes and real-time decisions based on common data, models, and assumptions. By integrating the overall business processes, companies achieve significant improvements in performance with payback in months instead of years.
aspenONE for Refining & Marketing maximizes profitability and drives operational excellence by:
- Optimizing decision support
- Driving collaboration across engineering, plant ops, and supply chain
- Standardizing work processes
- Mitigating risk
aspenONE for Refining & Marketing is comprised of the following applications:
- aspenONE Plant Operations for Refining & Marketing – Improves operating margins through integrated plant processes and workflow
- aspenONE Planning & Scheduling for Refining & Marketing – Maximizes margins and optimize end-to-end refinery operations
- aspenONE Advanced Process Control for Refining & Marketing – Maximizes operational agility, performance, and profitability
- aspenONE Production Management & Execution for Refining & Marketing – Standardizes and streamlines refining operations with an integrated solution for monitoring, control and analysis of production information
- aspenONE Process Engineering for Refining & Marketing – Drives operational excellence and profitability through optimal process design and operations
- aspenONE Supply & Distribution for Refining & Marketing – Maximizes profitability, increase operational visibility, and improve asset utilization for petroleum companies
New Customer Profile
"European Refiner Tackles Heat Exchange Issues—Saves Millions in the Process"
Petroleum Customer Successes
Video: Petro-Canada: Using Simulation Models to Improve Plant Performance and Reliability