METHOD AND APPARATUS FOR PREDICTION CONTROL IN DRILLING DYNAMICS USING NEURAL NETWORKS
Patent №
US 6,732,052
Granted
2004-05-04
Filed 2001
Owner
BAKER HUGHES INCORPORATED
Lab
—
AI components
2
ml · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09965958
The present invention provides a drilling system that utilizes a neural network for predictive control of drilling operations. A downhole processor controls the operation of the various devices in a bottom hole assembly to effect changes to drilling parameters and drilling direction to autonomously optimize the drilling effectiveness. The neural network iteratively updates a prediction model of the drilling operations and provides recommendations for drilling corrections to a drilling operator.
AI classification
Ownership
BAKER HUGHES INCORPORATED
assignment · 125720811
Assignors
MACDONALD, ROBERT P., KRUEGER, VOLKER, DUBINSKY, VLADIMIR, MACPHERSON J. D.
On an employer assignment, the assignors are typically the inventors.