PATENT CLAIM ANALYSIS

Application Number: 16037864
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-05
Patent Classification: ["702", "011000"]

Abstract:
Techniques for determining geometries of hydraulic fractures include identifying a data structure that includes data associated with hydraulic fracture identifiers and observed fluid pressures, at least one of the hydraulic fracture identifiers representing a first hydraulic fracture formed from a monitor wellbore into a subsurface rock formation and at least another of the hydraulic fracture identifiers representing a second hydraulic fracture formed from a treatment wellbore into the subsurface rock formation, at least one of the observed fluid pressures includes a pressure change in a fluid in the first hydraulic fracture that is induced by formation of the second hydraulic fracture; performing a single- or multi-objective, non-linear constrained optimization analysis to minimize at least one objective function associated with the observed fluid pressures; and based on minimizing the at least one objective function, determining respective sets of hydraulic fracture geometries associated with at least one of the first hydraulic fracture or the second hydraulic fracture.

Claim (Index 26):
The computer-implemented method of  claim 25 , wherein iterating comprises:\n setting the set of hydraulic fracture geometries of the first hydraulic fracture to an initial set of data values; minimizing at least one of the first or second objective functions using the observed poromechanically induced pressure and modeled pressure that is based on the set of hydraulic fracture geometries of the first hydraulic fracture and a set of hydraulic fracture geometries of the second hydraulic fracture; calculating a new set of hydraulic fracture geometries of the first hydraulic based on the minimization; and resetting the set of hydraulic fracture geometries of the first hydraulic fracture to the calculated new set of hydraulic fracture geometries.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 95.0
- Lexical Diversity: 2.49231
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15915303', '15201470', '14133687', '15192218', '14896685']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.218152050349274
- 35 USC 102 Novelty (BERT): 0.5874831714876306
- Combined Prediction Score: 0.2550851624631097
- Mean Citation Score: 316.522896
- Max Citation Score: 498.54507
- Similarity Product: 411.1362707125712

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

Dataset: test