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AspenTech wins Dangote contract

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Hydrocarbon Engineering,

Aspen Technology Inc. has announced that the Dangote Group has selected Aspen PIMS-AO™ software for economic and operational planning.

The 650 000 bpd Dangote Oil Refinery will house the world’s largest urea plant with a capacity of 3 million tpy, in addition to a polyethylene plant and gas processing facilities for 3 billion ft3/d of natural gas.

Aspen PIMS-AO software is part of the aspenONE® suite of products that streamline downstream refining workflows to bridge the gap between planning and scheduling, create optimal production plans quickly and evaluate more scenarios to enable better decision-making.

AspenTech has partnered with leading energy companies worldwide to develop a proprietary solving algorithm that ensures accurate results. PIMS-AO also offers nonlinear models that improve accuracy in refining reactors and olefins (pyrolysis) furnaces.

Srinivas Rachakonda, Director Business Strategy & Optimisation, Dangote Group, said: "We use Aspen PIMS-AO as a key strategic decision support system technology in the selection of refinery configuration, critical design and expansion studies for the Dangote Refinery. The technology is used to report refining economics as well as to determine product slate and feedstock selection. PIMS-AO reasonably avoids occurrence of local optima, and we are pleased with AspenTech technical support. The partnership will continue after commissioning in 2019, when Aspen PIMS-AO will be used for all refinery planning and optimisation, including feedstock selection, product slate optimisation and production planning.”

Zafar Ali, Senior Director, Product Management, AspenTech, added: “AspenTech gives customers as much information as possible in the decision-making process to help them hedge business risk in light of volatile prices, demand and operational reliability. Aspen PIMS-AO, with its proprietary optimisation engine, offers industry-leading solution quality and robustness, advanced solution tools, including ranging analysis, parametric analysis and feedstock basket reduction that empowers faster analysis of a wide range of data to ensure optimal profitability.”

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