| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_b41fe46a2ded7d85ff5aaea94bac7b52
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_21836d3f41291aadac4dd55e6c36f303 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C10G2300-202
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C10G2300-308
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C10G2300-302 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-287
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-2823
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C10G7-12
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C10G75-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C10G31-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C10L1-00 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-28
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C10G7-12 |
| filingDate |
2018-03-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2019-07-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0c2ed5cd54925062b9ad9585016f1c7e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c1555b239720e086768d33f060606ff9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d39c9dd1abfd8e206b04ebd9260d1a48
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f438ea627e1e9da381577622c978a9bc
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_70298ee20072fecec82cdfe392775271 |
| publicationDate |
2019-07-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-10365263-B1 |
| titleOfInvention |
Prediction of crude oil blend compatibility and blend optimization for increasing heavy oil processing |
| 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. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-4198851-A1 |
| priorityDate |
2018-01-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |