PATENT CLAIM ANALYSIS

Application Number: 16462111
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["702", "016000"]

Abstract:
The present invention provides a computer-implemented method for detecting at least one natural contour of a geologic object in 3D seismic data, the method comprising the steps of: (a) receiving at least one first predetermined data set from said 3D seismic data comprising a plurality of phase events; (b) selecting at least one first seed phase event having a first phase characteristic from said plurality of phase events; (c) determine a characterising score between said selected at least one first seed phase event and each one of a predetermined number of candidate phase events of said at least one first predetermined data set; (d) assign said characterising score to each one of said predetermined number of candidate phase events; (e) adjust said characterising score of at least one of said predetermined number of candidate phase events in accordance with at least one first boundary condition; (f) determine at least one natural contour between said at least one first seed phase event and at least a second phase event, utilising an optimisation algorithm; (g) generate a visual representation of said at least one natural contour within said at least one first predetermined data set.

Claim (Index 10):
A method according to  claim 1 , wherein said at least one natural contour in step (f) includes a first natural contour, that is an optimum solution provided by said optimisation algorithm, and at least one alternate natural contour, that is an alternate solution provided by said optimisation algorithm.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 100.0
- Lexical Diversity: 2.89333
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14579558', '14236601', '15542012', '13378018', '12415264']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1897602470628137
- 35 USC 102 Novelty (BERT): 0.514767636488104
- Combined Prediction Score: 0.2222609860053427
- Mean Citation Score: 202.132948
- Max Citation Score: 229.22713
- Similarity Product: 133.26397215121625

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

Dataset: test