US 12,031,900 B2
Corrosion analysis using magnetic flux leakage measurements
Sadeed Sayed, Singapore (SG); Ahmed E. Fouda, Pearland, TX (US); and Freeman Lee Hill, Magnolia, TX (US)
Assigned to HALLIBURTON ENERGY SERVICES, INC., Houston, TX (US)
Filed by Halliburton Energy Services, Inc., Houston, TX (US)
Filed on Oct. 21, 2022, as Appl. No. 17/970,873.
Prior Publication US 2024/0133796 A1, Apr. 25, 2024
Int. Cl. G01N 17/00 (2006.01); G01N 27/72 (2006.01); G01N 27/82 (2006.01); G01N 27/90 (2021.01); G01R 33/04 (2006.01); G01R 33/12 (2006.01)
CPC G01N 17/006 (2013.01) [G01N 27/72 (2013.01); G01N 27/82 (2013.01); G01N 27/9046 (2013.01); G01R 33/04 (2013.01); G01R 33/12 (2013.01); G01R 33/1215 (2013.01); G01R 33/1269 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
disposing a magnetic flux leakage tool in a pipe within a wellbore;
operating the magnetic flux leakage tool to generate magnetic flux leakage data for the pipe within the wellbore;
converting the magnetic flux leakage data into image data;
providing the image data to a machine learning model;
identifying, by applying the machine learning model to the image data, one or more physical parameters associated with corrosion present on the pipe.