PATENT CLAIM ANALYSIS

Application Number: 15770957
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["502", "241000"]

Abstract:
Disclosed is a process to prepare a [MnNaW]O n /SiO 2  catalyst using manganese oxide (MnO 2 ) and tungsten oxide (WO 3 ) nanostructures. Also disclosed are methods and systems using the aforementioned catalyst having higher methane conversion and C 2  to C 4  selectivity compared to similar catalysts not prepared with MnO 2  and WO 3  nanostructures.

Claim (Index 10):
A method for producing C 2 + hydrocarbons from an oxidative coupling of methane reaction, the method comprising contacting a reactant feed that includes methane (CH 4 ) and oxygen (O 2 ) with a [MnNaW]O n /SiO 2  catalyst at a reaction temperature of from 600\u00b0 C. to 900\u00b0 C. to produce a product stream comprising C 2 + hydrocarbons, wherein n balances the combined valence states of Mn, Na, and W, and wherein the [MnNaW]O n /SiO 2  catalyst comprises a thermally treated mixture, wherein the mixture comprises manganese oxide (MnO 2 ) nanostructures, tungsten oxide (WO 3 ) nanostructures, silica sol, and a sodium source, wherein the MnO 2  nanostructures and WO 3  nanostructures are dispersed throughout the mixture, and wherein a nanostructure has at least one dimension of from 1 nm to 1000 nm.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 91.0
- Lexical Diversity: 1.43478
- Patent Class: 502.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15208862', '13115082', '15579385', '15628023', '15179478']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7769500095887846
- 35 USC 102 Novelty (BERT): 0.5020827088769513
- Combined Prediction Score: 0.7494632795176012
- Mean Citation Score: 249.467226
- Max Citation Score: 277.80038
- Similarity Product: 222.032286733377

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