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 19):
The marine riser inspection system of  claim 20 , wherein the operational assessment module is further configured to:\n compare the first predictive degradation rate and the first actual degradation rate; based on the first predictive degradation rate exceeding the first actual degradation rate, determine the first remaining operating lifetime of the riser asset based on the first predictive degradation rate and a baseline parameter; and based on the first actual degradation rate exceeding the first predictive degradation rate, determine the first remaining operating lifetime of the riser asset based on the first actual degradation rate and the baseline parameter.

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): 0.1045368471086117
- 35 USC 102 Novelty (BERT): 0.5198730187352227
- Combined Prediction Score: 0.1460704642712728
- Mean Citation Score: 215.983948
- Max Citation Score: 261.50162
- Similarity Product: 155.5469918089175

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