US 12,481,900 B2
Probabilistic model calibration and estimation for drilling steering control
Alexander Mathew Keller, Austin, TX (US); Vy Pho, Houston, TX (US); Umut Zalluhoglu, Humble, TX (US); and Robert P. Darbe, Tomball, TX (US)
Assigned to Halliburton Energy Services, Inc., Houston, TX (US)
Filed by Halliburton Energy Services, Inc., Houston, TX (US)
Filed on Jul. 13, 2020, as Appl. No. 16/926,841.
Claims priority of provisional application 62/910,921, filed on Oct. 4, 2019.
Prior Publication US 2021/0103843 A1, Apr. 8, 2021
Int. Cl. E21B 44/00 (2006.01); E21B 7/06 (2006.01); G05B 15/02 (2006.01); G06F 17/18 (2006.01); G06N 7/01 (2023.01)
CPC G06N 7/01 (2023.01) [E21B 7/06 (2013.01); E21B 44/005 (2013.01); G05B 15/02 (2013.01); G06F 17/18 (2013.01); E21B 2200/20 (2020.05)] 20 Claims
OG exemplary drawing
 
1. A method for calibrating a steering model for a drilling system comprising:
estimating an initial condition for one or more variables in the steering model by utilizing at least part of a statistical bagging process; and
calibrating the steering model with a Markov Chain Monte Carlo Simulation (MCMC), wherein MCMC utilizes an objective function which separates survey measurements and continuous measurements into different reference frames.