PATENT CLAIM ANALYSIS

Application Number: 16044071
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["702", "011000"]

Abstract:
Techniques for determining a proppant-area of a hydraulic fracture include identifying a fracture fluid leak-off curve that includes time-dependent pressure signal values of a first fracturing fluid in a monitor wellbore that is in fluid communication with a first hydraulic fracture formed from the monitor wellbore. Each of the time-dependent pressure signal values is a pressure change in the first fracturing fluid induced by a second hydraulic fracture from a treatment wellbore formed by a second fracturing fluid that includes proppant. The techniques further include determining a time value corresponding to a time-dependent pressure signal value associated with proppant landing time in the second hydraulic fracture; generating a pre-closure curve that includes extrapolated time-dependent pressure signal values; determining an intersection of the fracture fluid leak-off curve and the generated at least one pre-closure curve; determining a time-dependent pressure signal value that occurs at the intersection; and determining a proppant-area dimension of the second hydraulic fracture.

Claim (Index 22):
The computer-implemented method of  claim 16 , further comprising:\n determining, based on the determined proppant area, an impact of at least one hydraulic fracturing operation action on the determined proppant area; and graphically presenting the at least one hydraulic fracturing operation action to a user.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 95.0
- Lexical Diversity: 2.7
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16044160', '15915303', '14896685', '14356369', '14664362']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1928626527736187
- 35 USC 102 Novelty (BERT): 0.6060964845226525
- Combined Prediction Score: 0.2341860359485221
- Mean Citation Score: 382.79228
- Max Citation Score: 569.6849
- Similarity Product: 464.0579119455695

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