Saudi Aramco Increases Refinery Capacity by 100,000 Barrels/Day Using Plant Digital Twin
Learn how Saudi Aramco used Aspen HYSYS to analyze feasibility of refinery reconfiguration plans by developing plant digital twins of multiple units. The new reconfiguration plan projects a 100 MBD increase in the refinery’s processing capacity, a substantial reduction in fuel oil production together with a significant boost in diesel production capacity.
The Evolution of Performance Engineering
Leading organizations are connecting process engineering simulations to plant data, creating a “digital twin” model that can calibrate autonomously and continuously.
Multivariate Statistical Analysis Finds Cause of Quench Oil High-Viscosity Issue
One of the world's largest chemical, plastic and refining companies used Aspen ProMV to understand and resolve production problems caused by an ongoing quench oil high-viscosity issue. In this case study, learn how Aspen ProMV enabled the company to highlight the top process variables highly correlated with viscosity issues, and quickly guided process engineers to the underlying issue to limit losses.
Multivariate Statistical Analysis Finds the Bad Actors in Light Component Losses
This petrochemical company launched an Aspen ProMV™ pilot project to investigate light component losses that go to the bottom of a fractionation column and pressurize the downstream column. Using Aspen ProMV for continuous processes, a model was developed, and bad actors that are highly correlated to the light product loss were identified. Aspen ProMV’s optimization tool was also utilized to provide better operating conditions to reduce losses.
Aspen ProMV Brochure
Aspen ProMV helps you find the real underlying sources of variation in production processes. Learn how companies such as FMC Corporation and Mitsubishi Chemicals are using this software to stabilize quality, yield and productivity.
Multivariate Statistical Analysis Finds the Bad Actors in Out-of-Spec Batches
Learn how a large producer of synthetic rubber used Aspen ProMV to identify the cause of ongoing quality issues with its batch products. Download the case study to read how Aspen ProMV uncovered the variables that correlated most with batch quality, resolving production problems faster to limit losses.
Multivariate Analytics: The Secret to Better Batch Processes
Are you struggling to effectively organize and analyze your data to troubleshoot bad batches? Multivariate analytics will quickly deliver insights that can increase batch quality, yield and throughput. Manufacturers have already realized 10 percent increase in production and 50 percent reduction in quality variability through the use of such tools. Download this paper now to learn how to get truly meaningful insights from your batch process data for optimal plant performance.
Realizing the Promise of Embedded AI With Two Key Additions
Learn more about the drivers behind AspenTech's recent acquisitions of Sabisu and Mnubo.
Process Manufacturing with Aspen ProMV™
Aspen ProMV provides insight into all the variability issues that plague process manufacturing, and guidance for process engineers, control engineers, and operators to make appropriate process adjustments. Watch this video to learn how to improve product quality, increase yield, and decrease production time when you unlock the full potential of your manufacturing process with Aspen ProMV.
A Whole New Way to Capture View and Use Data
Discover a whole new way to capture, view and use data.