TY  - SER
TI  - Machine Learning Aids Early Detection of Stuck Pipe in Extended-Reach Wells
PY  - 2022///
CY  - 
PB  - 
N2  - The objective of this paper is to describe the experience of using a machine-learning model prepared by the ensemble method to prevent stuck-pipe events during construction of extendedreach wells. The tasks performed include collecting, analyzing, and cleaning historical data; selecting and preparing a machine-learning model; and testing it on real-time data by means of a desktop application. The idea is to display the solution at the rig floor, allowing the driller to take actions quickly for prevention of stuck-pipe events
ER  -