Data-driven indicators for the detection and prediction of stuck-pipe events in oil&gas drilling operations-Reference-Cited by-同舟云学术

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Data-driven indicators for the detection and prediction of stuck-pipe events in oil&gas drilling operations

Published:2021-09 Issue: Volume:7 Page:100043
ISSN:2666-2604
Container-title:Upstream Oil and Gas Technology
language:en
Short-container-title:Upstream Oil and Gas Technology

Author:

Brankovic Aida^ORCID,Matteucci Matteo,Restelli Marcello,Ferrarini Luca,Piroddi Luigi^ORCID,Spelta Andrea,Zausa Fabrizio

Publisher

Elsevier BV

Reference17 articles.

1. Efficient Drilling Problem Detection;Nybø,2009

2. Statistical method for detection of poor hole cleaning and stuck pipe;Gulsrud,2009

3. Improved drilling process through the determination of hardness and lithology boundaries;Solberg,2012

4. Applied drilling Engineering;Bourgoyne,1986

5. Real-time optimization of rate of penetration during drilling operation;Sui,2013

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1. Rate of Penetration Prediction using Batch Normalized Deep Elman Neural Network;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

2. Prediction of drilling plug operation parameters based on incremental learning and CNN-LSTM;Geoenergy Science and Engineering;2024-03

3. Evaluating Profitability of Hybrid Approach for Early Stuck-Sign Detection: Analyzing False Alarms and Quantifying Reduction in Nonproductive Time;Day 2 Wed, March 06, 2024;2024-02-27

4. Enhancing Stuck Pipe Risk Detection in Exploration Wells Using Machine Learning Based Tools: A Gulf of Mexico Case Study;Day 2 Wed, March 06, 2024;2024-02-27

5. An Optimization Analysis of the Melt-Cutting Diversion Jetting Mechanism for Downhole Drilling Columns;SPE Journal;2024-01-02

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