A New Model for Predicting Rate of Penetration Using an Artificial Neural Network.

Elkatatny, Salaheldin; Al-AbdulJabbar, Ahmed; Abdelgawad, Khaled

Elkatatny, Salaheldin; Al-AbdulJabbar, Ahmed; Abdelgawad, Khaled.

Afiliação

Elkatatny S; College of Petroleum Engineering & Geosciences, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.
Al-AbdulJabbar A; College of Petroleum Engineering & Geosciences, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.
Abdelgawad K; College of Petroleum Engineering & Geosciences, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.

Sensors (Basel) ; 20(7)2020 Apr 06.

Article em En | MEDLINE | ID: mdl-32268597

Palavras-chave

ROP empirical correlation; artificial neural networks; drilling parameters; rate of penetration

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article

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