US 12,084,957 B2
Well construction workflow selection and execution
Samba Ba, Beijing (CN); Jean-Pierre Poyet, Houston, TX (US); Jia Xu Liu, Beijing (CN); Jia Yao, Beijing (CN); Pascal Hochart, Beijing (CN); Florian Le Blay, Beijing (CN); and Yong Wang, Beijing (CN)
Assigned to Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed on Nov. 1, 2021, as Appl. No. 17/516,248.
Claims priority of provisional application 63/198,619, filed on Oct. 30, 2020.
Prior Publication US 2022/0136379 A1, May 5, 2022
Int. Cl. E21B 44/00 (2006.01); G06N 20/00 (2019.01)
CPC E21B 44/00 (2013.01) [G06N 20/00 (2019.01); E21B 2200/22 (2020.05)] 15 Claims
OG exemplary drawing
 
1. A method for conducting wellsite activities, comprising:
receiving measured sensor data collected by one or more sensors in a wellsite construction rig;
determining a data quality of the measured sensor data based on a plurality of data quality dimensions;
predicting predicted sensor data using a model;
comparing the measured sensor data with the predicted sensor data;
determining an uncertainty of the measured sensor data based at least in part on the data quality and the comparison;
selecting one or more workflows for implementation using the one or more sensors, the wellsite construction rig, or both, wherein selecting comprises:
displaying an alert to a user that an error related to the data quality is detected;
receiving a selection of the one or more workflows from the user; and
using the received selection to train a machine learning model to predict a subsequent selection of the one or more workflows; and
executing the one or more workflows, wherein executing the one or more workflows comprises generating and transmitting a signal that causes equipment or the one or more sensors of the wellsite construction rig to be adjusted.