US 11,808,135 B2
Systems and methods to perform a downhole inspection in real-time
Sebastian Kroczka, Cracow (PL); Welton Danniel Souza, Dan Haag (NL); Chafaa Badis, Lons (FR); Kashyap Choksey, Sugarland, TX (US); and Yoann Santin, London (GB)
Assigned to Halliburton Energy Services, Inc., Houston, TX (US)
Filed by Landmark Graphics Corporation, Houston, TX (US)
Filed on Oct. 20, 2020, as Appl. No. 17/075,526.
Claims priority of provisional application 62/962,009, filed on Jan. 16, 2020.
Prior Publication US 2021/0222539 A1, Jul. 22, 2021
Int. Cl. E21B 47/002 (2012.01); G01V 8/02 (2006.01); H04N 7/18 (2006.01); E21B 47/12 (2012.01); E21B 33/13 (2006.01)
CPC E21B 47/002 (2020.05) [E21B 47/12 (2013.01); G01V 8/02 (2013.01); H04N 7/183 (2013.01); E21B 33/13 (2013.01); E21B 2200/22 (2020.05)] 17 Claims
OG exemplary drawing
 
1. A method to perform post drilling downhole inspection in real-time, the method comprising:
after completion of a drilling operation and a completion operation, deploying a camera and a logging tool downhole; wherein the logging tool comprises at least one of a caliper, an electromagnetic tool, or an acoustic tool;
obtaining real-time transmissions of images from the camera; wherein the camera captures images of a tubular or casing;
obtaining real-time transmissions of data from the logging tool; wherein the logging tool measures the thickness of a tubular or casing; and
determining, via an artificial intelligence technique, a presence of a downhole anomaly based on the real-time transmissions of images and the real-time transmissions of data of the tubular or casing;
comparing the real-time transmissions of images and the real-time transmissions of data with previous images and data of the tubular or casing; and
providing a prediction of when the downhole anomaly could cause the tubular or casing to fail.