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 5):
The computer program product of  claim 3 , wherein the program instructions are further executable by the computer to cause the computer to:\n receive a second predictive degradation rate of a second potential flaw in the riser asset; receive a second actual degradation rate of a second flaw in the riser asset, the second flaw corresponding with the second potential flaw; and determine a second remaining operating lifetime of the riser asset based on the second predictive degradation rate and the second actual degradation rate.

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): 0.1046822273419817
- 35 USC 102 Novelty (BERT): 0.5180282131910525
- Combined Prediction Score: 0.1460168259268888
- Mean Citation Score: 215.983948
- Max Citation Score: 261.50162
- Similarity Product: 161.17909402246713

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