Invention Grant
- Patent Title: Prediction of crude oil blend compatibility and blend optimization for increasing heavy oil processing
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Application No.: US15937397Application Date: 2018-03-27
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Publication No.: US10365263B1Publication Date: 2019-07-30
- Inventor: Rajeev Kumar , Ravi Kumar Voolapalli , Pranab Kumar Rakshit , Sanjay Bhargava , Sreedevi Upadhyayula
- Applicant: BHARAT PETROLEUM CORPORATION LIMITED , INDIAN INSTITUTE OF TECHNOLOGY, DELHI
- Applicant Address: IN Delhi IN Mumbai
- Assignee: Indian Institute of Technology, Delhi,Bharat Petroleum Corporation Limited
- Current Assignee: Indian Institute of Technology, Delhi,Bharat Petroleum Corporation Limited
- Current Assignee Address: IN Delhi IN Mumbai
- Agency: Seed IP Law Group LLP
- Priority: IN201821003341 20180129
- Main IPC: G01N33/28
- IPC: G01N33/28 ; C10G7/12

Abstract:
Methods and systems for predicting crude oil blend compatibility and optimizing blends for increasing heavy crude oil processing are described. The method includes receiving ratios of physical parameters of crude oils for optimization of crude oil blend. The physical parameter ratios are based on Kinematic Viscosity (V), Sulphur (S), Carbon Residue (C), and American Petroleum Institute (API) gravity. The crude oil blend compatibility (K model) is determined and generated using the physical parameter ratios. The K model is developed by coefficients obtained by regression analysis between the ratios of physical parameters of known crude oils and composite compatibility measure determined from multiple compatibility test results of the known crude oils. The predicted crude oil blend compatibility can be used for optimizing heavy crude oil processing.
Public/Granted literature
- US20190234928A1 PREDICTION OF CRUDE OIL BLEND COMPATIBILITY AND BLEND OPTIMIZATION FOR INCREASING HEAVY OIL PROCESSING Public/Granted day:2019-08-01
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