Online lube optimization model
Boost lube product yield and quality with quick and easy assessments using the online lube optimization model. This predictive tool enables you to quickly and cost-effectively test the impact of feedstock and operational changes on lube product yield and quality. Developed from years of ExxonMobil expertise and experience, the tool can be tuned to match actual unit performance, delivering valuable data to help enable decisions about how best to:
- Evaluate feed flexibility
- Optimize product mix
- Maximize operational value
Two modules
The model has lube hydrocracker (LHDC) and dewaxing modules, which can be run independently or linked. Each module predicts process performance and product yields and qualities based on key operating variables, such as average reactor temperature, space velocity, pressure, product fractionation cut point and separation efficiency.
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• Perform case studies• Feasibility screening -
• Evaluate feed flexibility• Understand operational resilience• Optimize product mix to maximize value -
• Secure cloud-based sharing
• Common data view
Key features
Easy functionality
Input cells constrained to prevent input errors and define operating windows
Secure data
Housed on dedicated Amazon Web Services (AWS) servers
Expert support
Onboarding, model tuning, user training, annual tuning and refresher training
Continuous upgrades
Ongoing updates based on our latest research and commercial data
Predictive accuracy
Model can be tuned to match actual unit performance
Versatile capability
Hydrocracking and dewaxing modules available
Customized for you
The optimization model provides more accurate, quantitative guidance when tuned to the specific unit commercial data using available tuning factors. The tuned model can be used to expand the unit’s operating envelope with new feed and product specifications, and to optimize the process performance.
Featured resources
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Online lube optimization model fact sheet
This predictive tool enables you to quickly and cost-effectively test the impact of feedstock and operational changes on lube product yield and quality.
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Case study: Lube Optimization Model
Learn how the Online Lube Optimization Model was used to calculate potential improvements in yield, energy consumption and catalyst life.
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Case study: Online Lube Optimization Model calculates impact of raising nitrogen feed on catalyst life
Learn how the Online Lube Optimization Model calculates impact of raising nitrogen feed on catalyst life.
