	US 12,106,028 B2
	Optimization based on predicted tool performance
Ali Ozbek, Cambridge (GB); Riadh Boualleg, Stonehouse (GB); and Ling Li, Stonehouse (GB)
Assigned to Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed on Dec. 2, 2022, as Appl. No. 18/060,977.
Application 18/060,977 is a continuation of application No. 17/999,291, previously published as PCT/US2021/033316, filed on May 20, 2021.
Claims priority of provisional application 63/043,970, filed on Jun. 25, 2020.
Claims priority of provisional application 63/027,464, filed on May 20, 2020.
Prior Publication US 2023/0186000 A1, Jun. 15, 2023
Int. Cl. E21B 7/04 (2006.01); E21B 41/00 (2006.01); E21B 44/00 (2006.01); E21B 49/00 (2006.01); G06F 30/13 (2020.01); G06F 30/27 (2020.01)

CPC G06F 30/27 (2020.01) [E21B 7/04 (2013.01); E21B 41/00 (2013.01); E21B 44/00 (2013.01); E21B 49/00 (2013.01); G06F 30/13 (2020.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05)]

15 Claims

1. A method for designing a wellbore, the method comprising:

predicting, using a physical-based model (PBM) and downhole tool parameters, a dogleg severity (DLS) capability of a downhole drilling tool for a given inclination;

predicting, using the PBM and the downhole tool parameters, a rate of penetration (ROP) capability of the downhole drilling tool for the DLS and inclination combination;

correcting, using a machine learning (ML) model, the predicted DLS capability of the downhole drilling tool and the predicted ROP capability of the downhole drilling tool;

determining, using a target, the corrected DLS capability of the downhole drilling tool, and the corrected ROP capability of the downhole drilling tool, a target trajectory to the target;

analyzing the target trajectory based on one or more drilling parameters; and

determining a time to target of the target trajectory based on the corrected DLS capability of the downhole drilling tool and the corrected ROP capability of the downhole drilling tool.