PATENT CLAIM ANALYSIS

Application Number: 15977642
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["422", "652000"]

Abstract:
Described is an industrial scale chemical reactor or reactor containing a shell having an inner wall, and at least one channel inside the shell. The shell has a circular, square, or rectangular cross-sectional area. All of the internal dimensions of the channel are greater than 10 mm, and optionally less than 50 mm. The channel has a rectangular cross-sectional area, and contains a catalyst bed containing catalyst particles and/or pieces containing catalyst particles packed inside the channel. The reactor has improved shell volume utilization, catalyst loading capacities, heat exchange efficiency, process intensification, or combinations thereof, compared to currently existing reactors. Exothermic reactions, such as the Fischer-Tropsch synthesis can be performed inside the channels of the reactor. Also described are methods of making the reactor.

Claim (Index 8):
The reactor of  claim 7 , wherein the height of the channel is greater than 10 mm and less than 150 mm, greater than 10 mm and less than 100 mm, inclusive, greater than 10 mm and less than 55 mm, greater than 10 mm and less than or equal to 50 mm, greater than 10 mm, greater than 25 mm, or greater than 50 mm.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 93.0
- Lexical Diversity: 1.775
- Patent Class: 422.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12393837', '15967078', '12940792', '13245328', '14604790']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8001909273686287
- 35 USC 102 Novelty (BERT): 0.4888658083242882
- Combined Prediction Score: 0.7690584154641947
- Mean Citation Score: 198.986182
- Max Citation Score: 225.57999
- Similarity Product: 158.4528369255531

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