PATENT CLAIM ANALYSIS

Application Number: 15937397
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-08
Patent Classification: ["073", "152230"]

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.

Claim (Index 9):
The method as claimed in  claim 1 , wherein the compatibility predicted by the compatibility prediction model is positively correlated to intensity of spot obtained in a spot test.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 90.0
- Lexical Diversity: 2.02817
- Patent Class: 73.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15272237', '14005425', '13740095', '15039481', '15239034']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7572495878100483
- 35 USC 102 Novelty (BERT): 0.5450610790135344
- Combined Prediction Score: 0.7360307369303969
- Mean Citation Score: 337.4315660000001
- Max Citation Score: 444.97223
- Similarity Product: 252.2912586454988

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test