PATENT CLAIM ANALYSIS

Application Number: 16179676
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["166", "308200"]

Abstract:
This invention describes and claims the stimulation of several Wolfcamp and Bone Springs targeted wells in the northern Delaware Basin using fracturing treatments and a new method employing relatively small pre-pad pill volumes of Brine Resistant Silicon Dioxide Nanoparticle Dispersions ahead of each stage of treatment have been successfully performed. The invention includes a method of extending an oil and gas system ESRV comprising the steps of adding a Brine Resistant Silicon Dioxide Nanoparticle Dispersion (“BRINE RESISTANT SDND”) to conventional oil well treatment fluids. The invention also includes a method of increasing initial production rates of an oil well by over 20.0% as compared to wells either not treated with the BRINE RESISTANT SDND technology or treated by conventional nano-emulsion surfactants. The Method focuses on the steps of adding a Brine Resistant Silicon Dioxide Nanoparticle Dispersion to conventional oil well treatment fluids.

Claim (Index 3):
The Method of  claim 1  in which the pill volume is typically from about 500 to about 1,000 U.S. gallons of Brine Resistant Silicon Dioxide Nanoparticle Dispersion per about 3,000 to about 6,000 barrels (U.S.) of frac stage fluid.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 98.0
- Lexical Diversity: 1.67778
- Patent Class: 166.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15946338', '14436325', '14179177', '13722843', '15875183']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7840633915768843
- 35 USC 102 Novelty (BERT): 0.4838761276516848
- Combined Prediction Score: 0.7540446651843643
- Mean Citation Score: 146.00161
- Max Citation Score: 173.39154
- Similarity Product: 109.75911098321556

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