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 7):
A method according to  claim 1 , wherein each one of said predetermined number of candidate phase events is eligible in accordance with at least one algorithmic condition.

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): 0.1900120067342626
- 35 USC 102 Novelty (BERT): 0.5130345728472409
- Combined Prediction Score: 0.2223142633455604
- Mean Citation Score: 202.132948
- Max Citation Score: 229.22713
- Similarity Product: 136.85042810804606

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