US 12,371,986 B1
Monitoring a drilling operation using artificial intelligence
Mateusz Michal Dyngosz, Houston, TX (US); and Dale E. Jamison, Houston, TX (US)
Assigned to Halliburton Energy Services, Inc., Houston, TX (US)
Filed by Halliburton Energy Services, Inc., Houston, TX (US)
Filed on Aug. 22, 2024, as Appl. No. 18/812,606.
Int. Cl. E21B 44/00 (2006.01); E21B 45/00 (2006.01)
CPC E21B 44/00 (2013.01) [E21B 45/00 (2013.01); E21B 2200/22 (2020.05)] 20 Claims
OG exemplary drawing
 
1. A processor-implemented method of monitoring a drilling operation of a drilling rig, comprising:
receiving one or more parameters of a drilling operation of a drilling rig, wherein the one or more parameters are detected by one or more sensors;
recognizing, using a trained machine-learning model, a signature in the one or more parameters, wherein the recognizing of the signature comprises determining that a drill bit of the drilling rig has transitioned from a first formation to a second formation, based on a comparison of power consumption for the drilling operation to rate of work done by the drill bit, wherein the power consumption and the rate of work are obtained from the one or more parameters;
determining a corrective action based on the recognized signature; and
autonomously executing the corrective action, wherein the corrective action comprises altering pump rate in the drilling operation, revolutions per minute in the drilling operation, weight on bit in the drilling operation, drilling fluid properties in the drilling operation, or rate of penetration in the drilling operation.