PATENT CLAIM ANALYSIS

Application Number: 16044160
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["703", "010000"]

Abstract:
Techniques for determining a hydraulic fracture dimension include identifying pressure signal values of a first fracturing fluid in a monitor wellbore that represent a pressure change in the first fracturing fluid that is induced by formation of a second hydraulic fracture from a treatment wellbore; determining a particular pressure signal value of the plurality of pressure signal values; based on the determined particular pressure signal value, determining a particular dimension of the second hydraulic fracture formed from the treatment wellbore; and determining, based at least in part on (i) the determined particular dimension, and (ii) a first pressure signal value of the plurality of pressure signal values that is less than the determined particular pressure signal value, a first intermediate dimension of the second hydraulic fracture that is less than the determined particular dimension of the second hydraulic fracture.

Claim (Index 12):
The system of  claim 9 , wherein the fracture growth solver is configured to perform operations further comprising determining, based on the generated fracture growth curve, at least one hydraulic fracturing operation action,\n the user interface module is configured to generate a user interface that renders one or more graphical representations of the at least one hydraulic fracturing operation action, and the transmission module is configured to transmit, over the one or more communication protocols and to the computing device, data that represents the one or more graphical representations of the at least one hydraulic fracturing operation action.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 95.0
- Lexical Diversity: 2.96078
- Patent Class: 703.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16044071', '15915303', '15451269', '14356369', '14896685']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.269330674509079
- 35 USC 102 Novelty (BERT): 0.6099128598856419
- Combined Prediction Score: 0.3033888930467353
- Mean Citation Score: 369.378992
- Max Citation Score: 557.9625
- Similarity Product: 477.8916385442017

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test