Výsledky vyhledávání - "Sajad Eskandarian"

A comprehensive data mining approach to estimate the rate of penetration: Application of neural network, rule based models and feature ranking

Autor: Pezhman Kazemi, Peyman Bahrami, Sajad Eskandarian

Publikováno v: Journal of Petroleum Science and Engineering. 156:605-615

Rate of Penetration (ROP) estimation is one of the main factors in drilling optimization and minimizing the operation costs. However, ROP depends on many parameters which make its prediction a complex problem. In the presented study, a novel and reli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb352474070df44e334651bad9eaa721
https://doi.org/10.1016/j.petrol.2017.06.039

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