PATENT CLAIM ANALYSIS

Application Number: 16099686
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["705", "305000"]

Abstract:
A method for inspecting a riser asset of a marine riser includes generating a first predictive degradation rate of a first potential flaw in the riser asset based on an engineering assessment. The method also includes receiving, from sensors, sensor data indicative of a first flaw corresponding with the first potential flaw. The method also includes generating a first actual degradation rate of the first flaw based on the sensor data. The method also includes determining a first remaining operating lifetime of the riser asset based on the first predictive degradation rate and the first actual degradation rate. The method also includes determining a first inspection frequency for the riser asset based on a first safety factor and the first remaining operating lifetime of the riser asset. The method also includes generating a first inspection timeline based on the first inspection frequency.

Claim (Index 6):
The computer program product of  claim 5 , wherein the program instructions are further executable by the computer to cause the computer to:\n compare the first remaining operating lifetime with the second remaining operating lifetime; based on the first remaining operating lifetime being less than the second remaining operating lifetime, determine the inspection frequency for the riser asset based on the safety factor and the first remaining operating lifetime of the riser asset; and based on the second remaining operating lifetime being less than the second remaining operating lifetime, determine the inspection frequency for the riser asset based on the safety factor and the second remaining operating lifetime of the riser asset.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 3.19149
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12029376', '13707121', '13300155', '14079143', '12710707']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1041077991575096
- 35 USC 102 Novelty (BERT): 0.5253285120331526
- Combined Prediction Score: 0.1462298704450739
- Mean Citation Score: 215.983948
- Max Citation Score: 261.50162
- Similarity Product: 138.88111910618068

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

Dataset: test