PATENT CLAIM ANALYSIS

Application Number: 16009758
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["166", "250120"]

Abstract:
A method of fracturing multiple productive zones of a subterranean formation penetrated by a wellbore is disclosed. The method comprises injecting a fracturing fluid into each of the multiple production zones at a pressure sufficient to enlarge or create fractures in the multiple productive zones, wherein the fracturing fluid comprises an upconverting nanoparticle that has a host material, a dopant, and a surface modification such that the upconverting nanoparticle is soluble or dispersible in water, a hydrocarbon oil, or a combination thereof; recovering a fluid from one or more of the multiple production zones; detecting the upconverting nanoparticle in the recovered fluid by exposing the recovered fluid to an excitation radiation having a monochromatic wavelength; and identifying the zone that produces the recovered fluid or monitoring an amount of water or oil in the produced fluid by measuring an optical property of the upconverting nanoparticle in the recovered fluid.

Claim (Index 17):
The method of  claim 12 , wherein the upconverting nanoparticle is surface modified with citric acid or the upconverting nanoparticle has the coating of a polyethylene glycol, a polyacrylic acid, a derivative thereof, or a combination comprising as least one of the foregoing.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 94.0
- Lexical Diversity: 2.09211
- Patent Class: 166.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15626389', '14627688', '14627776', '15649836', '13678431']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7790376430525017
- 35 USC 102 Novelty (BERT): 0.4779771648701479
- Combined Prediction Score: 0.7489315952342663
- Mean Citation Score: 201.476076
- Max Citation Score: 222.55788
- Similarity Product: 163.86432429253583

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