Developing a New Model for Drilling Rate of Penetration Prediction Using Convolutional Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-022-06765-x.pdf
Reference61 articles.
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3. Amar K.; Ibrahim A.: Rate of penetration prediction and optimization using advances in artificial neural networks: a comparative study. In: Proceedings of the 4th International Joint Conference on Computational Intelligence. SciTePress—Science and and Technology Publications, Barcelona, Spain, pp. 647–652. https://doi.org/10.5220/0004172506470652 (2012)
4. Bourgoyne, A.T.J.; Young, F.S.J.: A multiple regression approach to optimal drilling and abnormal pressure detection. Soc. Pet. Eng. J. 14, 371–384 (1974). https://doi.org/10.2118/4238-PA
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