18535720. AUTOMATED COSTING OF INTERMEDIATE PRODUCTS OF A CRUDE DISTILLATION UNIT IN A REFINERY simplified abstract (Saudi Arabian Oil Company)
Contents
AUTOMATED COSTING OF INTERMEDIATE PRODUCTS OF A CRUDE DISTILLATION UNIT IN A REFINERY
Organization Name
Inventor(s)
Khalid M. Zahrani of Dammam (SA)
Yousif Fuod Abualsoud of Qatif (SA)
Hashim M. Hajji of Al Twaitheer (SA)
AUTOMATED COSTING OF INTERMEDIATE PRODUCTS OF A CRUDE DISTILLATION UNIT IN A REFINERY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18535720 titled 'AUTOMATED COSTING OF INTERMEDIATE PRODUCTS OF A CRUDE DISTILLATION UNIT IN A REFINERY
The computer-implemented method described in the abstract involves estimating intermediate crude oil distillation products in an oil refinery.
- Field data for distillation column feed streams and associated processes are received.
- Maintenance history events and estimates per event for each distillation column are received.
- Mass and energy balance calculations are performed around each distillation column.
- Reconciled data and thermodynamic properties for each distillation column are determined.
- Key performance indicators (KPIs) for each distillation column are determined.
- A decision support model using the KPIs is executed to model activity-based information for the oil refinery.
- Information regarding the current performance level of the oil refinery is determined.
- Proactive and reactive data for estimating the performance of each distillation column are determined.
- The proactive/reactive data and KPIs for estimating the performance of the distillation columns are provided for display in a user interface.
Potential Applications: - Oil refineries can use this method to optimize their distillation processes and improve efficiency. - This technology can be applied in the petrochemical industry to enhance the production of various refined products.
Problems Solved: - This method helps in accurately estimating intermediate crude oil distillation products, leading to better decision-making in refinery operations. - It addresses the need for proactive and reactive data analysis to improve the performance of distillation columns.
Benefits: - Improved efficiency and productivity in oil refinery operations. - Enhanced decision-making based on accurate estimates and key performance indicators.
Commercial Applications: Title: "Advanced Method for Intermediate Crude Oil Distillation Product Estimation in Oil Refineries" This technology can be commercially used by oil refineries to optimize their distillation processes, reduce operational costs, and enhance overall productivity. Market implications include increased competitiveness and improved product quality.
Questions about Intermediate Crude Oil Distillation Product Estimation: 1. How does this method improve the efficiency of distillation processes in oil refineries? - This method improves efficiency by providing accurate estimates and key performance indicators for each distillation column, allowing for better decision-making and optimization of operations.
2. What are the potential applications of this technology beyond oil refineries? - This technology can also be applied in the petrochemical industry to enhance the production of various refined products, improving overall efficiency and productivity.
Original Abstract Submitted
Systems and methods include a computer-implemented method for intermediate crude oil distillation product estimates. Field data for distillation column feed streams and associated processes of a crude distillation unit of an oil refinery are received. Maintenance history events and estimates per event of each distillation column are received. Mass and energy balance around each distillation column are performed. Reconciled data and thermodynamic properties for each distillation column are determined. Key performance indicators (KPIs) for each distillation column are determined. A decision support model modeling activity-based information for the oil refinery is executed using the KPIs. Information regarding operation of the oil refinery at a current performance level is determined. Proactive and reactive data for distillation column estimate performance of each of the distillation columns are determined. The proactive/reactive data and KPIs for distillation column estimate performance of the distillation columns are provided for display in a user interface.
