PATENT CLAIM ANALYSIS

Application Number: 15952575
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["585", "419000"]

Abstract:
Disclosed are a catalytic method and system for producing aromatic hydrocarbons from aliphatic hydrocarbons or light naphtha. In an aspect, the process comprises adding a diluent comprising a heavy aromatic hydrocarbon (for example, C 7 -C 9+ ) to a reactor feedstock comprising aliphatic hydrocarbons (for example, C 6 -C 8 ) or light naphtha to form a reactor feed stream, such that the heat capacity of reactor feed stream is higher than the heat capacity of feedstock. The reactor feed stream is heated and contacting with a catalyst under conditions sufficient to aromatize at least a portion of the aliphatic hydrocarbons and form a product stream comprising a primary aromatic hydrocarbon product and a heavy aromatic hydrocarbon product. In an aspect, the diluent can comprise a heavy aromatic hydrocarbon having at least one carbon atom more than the primary aromatic hydrocarbon product.

Claim (Index 26):
A process for producing aromatic hydrocarbons according to  claim 25 , wherein the heat duty provided by the furnace to the reactor feed stream is reduced by at least 5% as compared to the heat duty provided when the reactant feed stream does not have a higher heat capacity than the reactor feedstock.

Metadata:
- Claim Count in Document: 92.0
- Percentile: 91.0
- Lexical Diversity: 2.10959
- Patent Class: 585.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15623935', '15400058', '14483361', '11763235', '15684709']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7334222548739889
- 35 USC 102 Novelty (BERT): 0.5401837504710384
- Combined Prediction Score: 0.7140984044336939
- Mean Citation Score: 307.934182
- Max Citation Score: 387.83063
- Similarity Product: 236.8449800274396

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

Dataset: test