Prediction of rate of penetration based on drilling conditions identification for drilling process-Reference-Cited by-同舟云学术

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Prediction of rate of penetration based on drilling conditions identification for drilling process

Published:2024-04 Issue: Volume:579 Page:127439
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Yang Xiao,Wu Min^ORCID,Lu Chengda,Li Wangnian,Chen Luefeng,Du Sheng^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference29 articles.

1. A multiple regression approach to optimal drilling and abnormal pressure detection;Bourgoyne;Soc. Pet. Eng. J.,1974

2. Development of a modified Bourgoyne and Young model for predicting drilling rate;Sauki;J. Pet. Sci. Eng.,2021

3. Determination of constant coefficients of Bourgoyne and Young drilling rate model using a novel evolutionary algorithm;Anemangely;J. Min. Environ.,2017

4. Drilling rate of penetration prediction and optimization using response surface methodology and bat algorithm;Moraveji;J. Nat. Gas Sci. Eng.,2016

5. Analysis of rate of penetration (ROP) prediction in drilling using physics-based and data-driven models;Hegde;J. Pet. Sci. Eng.,2017

Cited by 1 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. Improvement of Rate of Penetration in Drilling Process Based on TCN-Vibration Recognition;IEEE Transactions on Instrumentation and Measurement;2024

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