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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