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 20):
The system as claimed in  claim 13 , wherein the optimization module is to determine the optimized blend by optimizing weight ratios of the at least one heavy oil and the one or more other crude oils based on constraints placed on K value determined by the compatibility prediction model, Kinematic Viscosity, Pour point, Vacuum residue yields, and Sulphur content.

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): 0.7525683006964582
- 35 USC 102 Novelty (BERT): 0.5576366935219798
- Combined Prediction Score: 0.7330751399790104
- Mean Citation Score: 337.4315660000001
- Max Citation Score: 444.97223
- Similarity Product: 351.93341326614143

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test