Expert system for early sign stuck pipe detection: Feature engineering and fuzzy logic approach-Reference-Cited by-同舟云学术

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Expert system for early sign stuck pipe detection: Feature engineering and fuzzy logic approach

Published:2024-01 Issue: Volume:127 Page:107229
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Siqueira Victor Semedo de M.^ORCID,Cuadros Marco Antonio S.L.,Munaro Celso José^ORCID,de Almeida Gustavo M.^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference21 articles.

1. Intelligent prediction of stuck pipe remediation using machine learning algorithms;Abbas,2019

2. Data-driven stuck pipe prediction and remedies;Al Dushaishi;Upstream Oil Gas Technol.,2021

3. Machine learning for detecting stuck pipe incidents: Data analytics and models evaluation;Alshaikh,2019

4. Stuck pipe prevention while drilling wells to limestone & sandstone reservoirs-southern Iraq;Azeez,2013

5. Data-driven indicators for the detection and prediction of stuck-pipe events in oil&gas drilling operations;Brankovic;Upstream Oil Gas Technol.,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An axiomatic fuzzy set theory-based fault diagnosis approach for rolling bearings;Engineering Applications of Artificial Intelligence;2024-11

2. Symbolic regression as a feature engineering method for machine and deep learning regression tasks;Machine Learning: Science and Technology;2024-06-01

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