ASPEN Technology, a leading provider of optimisation software for the process industries, has announced the availability of aspenONE manufacturing and supply chain V8.7 software.

The latest AspenTech software addresses oil, gas, and chemical companies’ challenge to maximise continuously the operational performance of plants, and to optimise the supply chain with increased visibility for better decision making. 

Manolis Kotzabasakis, executive vice president, products, AspenTech said: “Version 8.7 of aspenONE software is another step forward in collaboration across planning, scheduling and manufacturing operations. By using the new Aspen DMC3, Aspen PIMS-AO and Aspen Petroleum Scheduler software, our customers can become much more profitable.”

According to a company release, aspenONE manufacturing and supply Chain V8.7 software includes:

• Modify controller behaviour: Aspen DMC3, AspenTech’s adaptive control software, enables control engineers to continuously maximise operational performance and profitability by ensuring that their advanced process Ccntrol (APC) controller models always reflect the current operational and business drivers. The new Aspen DMC3 Robust LP Tuning feature provides the control engineer with the ability to make the controller more tolerant of model inaccuracy thus improving controller performance under rapidly changing process conditions.

• Expand refinery pipeline scheduling: Automated pipeline scheduling extends the scheduling capability of the Aspen petroleum scheduler down to ancillary terminals to accurately track inbound and outbound pipeline movements. With the new Aspen petroleum scheduler software, refineries can easily manage multiple and bi-directional pipeline segments and injection points with increased visibility and accuracy to make better – and more profitable – decisions. 

• Create the optimal refinery plan: Aspen PIMS-AO software delivers on the latest advancements in optimisation, including parallel processing, enhanced global optimisation, feedstock basket reduction, and nonlinear modeling, to improve planning for refineries and olefins plants.