Motiva Sees Tangible Operational Gains, Strengthens Overall Profitability with Aspen GDOT™

Motiva sought to reduce product giveaway while increasing yields and maintaining consistent product quality across refinery operations.

By leveraging Aspen GDOT™ dynamic optimization and Industrial AI-driven templates, Motiva was able to:

Increase jet fuel yield by 1% while reducing jet flash giveaway by 3°F and diesel sulfur giveaway by 0.5 ppm
Enhance real-time optimization through alignment of APC targets across crude, conversion and hydrotreating units
Accelerate FCC optimization with faster model development and validation powered by Industrial AI

Download the case study to see how Aspen GDOT™ can help improve refinery performance, minimize giveaway and create new margin opportunities.

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Industrial Data Fabric

Asset Performance Management

Digital Grid Management

Manufacturing and Supply Chain

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Motiva Sees Tangible Operational Gains, Strengthens Overall Profitability with Aspen GDOT™

Are you a current user of AspenTech solutions?

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