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 28):
A process for producing aromatic hydrocarbons according to  claim 26 , further comprising the step of returning the heavy aromatic hydrocarbon product to the diluent input line for addition to the reactor feedstock, wherein the first temperature plus the second temperature divided by two is lower than when the high heat capacity heavy aromatic hydrocarbon product is not recycled, and the process achieves the same level of conversion as when the heavy aromatic hydrocarbon product is not recycled, wherein the conversion is at least 60% on a molar basis.

Metadata:
- Claim Count in Document: 92.0
- Percentile: 91.0
- Lexical Diversity: 2.10959
- Patent Class: 585.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15623935', '15400058', '14483361', '11763235', '15684709']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7092760699278199
- 35 USC 102 Novelty (BERT): 0.5381890426537567
- Combined Prediction Score: 0.6921673672004136
- Mean Citation Score: 307.934182
- Max Citation Score: 387.83063
- Similarity Product: 245.96707729475847

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