PATENT CLAIM ANALYSIS

Application Number: 16124054
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-05
Patent Classification: ["703", "010000"]

Abstract:
A system and method for characterizing uncertainty in a subterranean fracture network by obtaining a natural fracture network, obtaining dynamic data, simulating hydraulic fracturing and microseismic events based on the natural fracture network and the dynamic data, generating a stimulated reservoir volume (SRV), and quantifying the uncertainty in the SRV. It may also include narrowing the uncertainty in the SRV through the use of Design of Experiment methods and characterizing the SRV using static and/or dynamic data.

Claim (Index 10):
A system for characterizing uncertainty in a subsurface region of interest, the system comprising:\n a. a data source containing data representative of the subsurface region of interest; b. a computer processor configured to execute computer modules, the computer modules comprising:\n i. a fracture module to obtain a natural fracture model of the subsurface region of interest; \n ii. a dynamic module to obtain dynamic field data relating to the subsurface region of interest; \n iii. a simulation module to simulate hydraulic fracturing and microseismic events based on the dynamic field data and the natural fracture model; \n iv. a SRV module to generate a stimulated reservoir volume (SRV) based on the simulated microseismic events; and \n v. an uncertainty module to quantify the uncertainty in the SRV; and c. a user interface.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 97.0
- Lexical Diversity: 1.73469
- Patent Class: 703.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15305141', '14010023', '14010079', '15129768', '14485018']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2454349914512268
- 35 USC 102 Novelty (BERT): 0.497321770015448
- Combined Prediction Score: 0.2706236693076489
- Mean Citation Score: 222.77142200000003
- Max Citation Score: 251.26433
- Similarity Product: 191.3490798315597

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