US 11,719,092 B2
Systems and methods for drilling a wellbore using taggant analysis
Klemens Katterbauer, Dhahran (SA); Alberto Marsala, Venice (IT); Nouf Jabri, Dhahran (SA); and Martin E. Poitzsch, Northumberland, NH (US)
Assigned to SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed by SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed on Oct. 13, 2020, as Appl. No. 17/69,080.
Prior Publication US 2022/0112801 A1, Apr. 14, 2022
Int. Cl. E21B 47/11 (2012.01); E21B 47/04 (2012.01); E21B 49/00 (2006.01); G01N 33/28 (2006.01)
CPC E21B 47/11 (2020.05) [E21B 47/04 (2013.01); E21B 49/005 (2013.01); G01N 33/2823 (2013.01); E21B 2200/20 (2020.05)] 18 Claims
OG exemplary drawing
 
13. A method for drilling a wellbore, comprising:
generating, using a machine learning model and based on a drilling fluid parameter, a drilling parameter, and a formation parameter, to generate an injection profile;
controlling, based on the injection profile, injection parameters of a taggant injection pump to improve a quality of rock cutting depth determination, wherein the taggant injection pump is in fluid communication with a circulation path for a drilling fluid;
releasing, using the taggant injection pump, taggants into the drilling fluid, wherein the taggants are transported downhole by the drilling fluid to impregnate rock cuttings as the rock cuttings are produced by a drill bit;
detecting, using a taggant detector in fluid communication with a return part of the circulation path, the taggants for determining a rock cutting depth of the rock cuttings,
wherein mud logging is performed based on an improved quality of the rock cutting depth determination, and
wherein a machine learning model is used to forecast, in real time, quantities and concentrations of the taggants detected in the drilling fluid.