Early warning of drillstring faulty conditions based on multi-model fusion in geological drilling processes-Reference-Cited by-同舟云学术

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Early warning of drillstring faulty conditions based on multi-model fusion in geological drilling processes

Published:2023-06 Issue: Volume:126 Page:26-35
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Li Yupeng,Cao Weihua^ORCID,Bhushan Gopaluni R.,Hu Wenkai,Wu Min

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference30 articles.

1. A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process;Gan;J. Process Control,2022

2. Model development for shear sonic velocity using geophysical log data: Sensitivity analysis and statistical assessment;Miah;J. Nat. Gas Sci. Eng.,2021

3. Detection of downhole incidents for complex geological drilling processes using amplitude change detection and dynamic time warping;Li;J. Process Control,2021

4. Multivariate probabilistic safety analysis of process facilities using the Copula Bayesian Network model;Hashemi;Comput. Chem. Eng.,2016

5. Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes;Wu;J. Process Control,2020

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