PATENT CLAIM ANALYSIS

Application Number: 15758858
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-01
Patent Classification: ["166", "250010"]

Abstract:
Methods and systems for detection of pipe characteristics, such as defect detection, including corrosion inspection, of downhole tubulars and overall thickness estimation of downhole tubulars. A defect detection method may comprise disposing a defect detection tool in a wellbore, wherein the defect detection tool comprises a transmitter and a plurality of receivers; processing measurements from the defect detection tool in the wellbore to obtain a well log, wherein the well log comprises a metal loss measurement; storing the well log in a database; importing the well log from the database into inversion software; loading a well plan into the inversion software; determining collar locations on at least one concentric pipe in the wellbore utilizing a collar locator algorithm in the inversion software using the well log and well plan; calibrating a forward model in the inversion algorithm utilizing a calibration algorithm in the inversion software using well log, well plan and collar locations; generating an output log utilizing the inversion algorithm in the inversion software on the inversion zone, wherein the output log comprises metal thicknesses of at least one concentric pipe of a plurality of concentric pipes, and collar locations; and determining false metal loss in the output log using the output log, well plan and collar locations.

Claim (Index 2):
The defect detection method of  claim 1 , further comprising determining updated collar locations on at least one concentric pipe in the wellbore utilizing the collar locator algorithm in the inversion software using the well log, well plan and the output log.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 90.0
- Lexical Diversity: 2.92308
- Patent Class: 166.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15567815', '15570549', '16060870', '15580131', '14888483']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7697911393274599
- 35 USC 102 Novelty (BERT): 0.4800223848125133
- Combined Prediction Score: 0.7408142638759653
- Mean Citation Score: 173.21612599999995
- Max Citation Score: 198.99411
- Similarity Product: 133.67811442875092

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

Dataset: test