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- Article name
- PROSPECTS FOR THE INTRODUCTION OF MACHINE LEARNING ELEMENTS TO INCREASE THE MECHANICAL SPEED OF PENETRATION
- Authors
- DADASHEV M. N., , jnus@mail.ru, FGBAOU HE "Gubkin Russian State University of Oil and Gas (RGU)", Moscow, Russia
Dzhafarov R. F., , jnus@mail.ru, Gazprom EP International B.V., St. Petersburg, Russia
Kuropatkin G. Yu., , jnus@mail.ru, Gazprom EP International B.V., St. Petersburg, Russia
- Keywords
- rate of penetration (ROP) / machine learning / ROP optimization / drilling parameters selection / WITSML / sensor data / calculation models
- Year
- 2021 Issue 3 Pages 21 - 25
- Code EDN
- Code DOI
- 10.52190/1729-6552_2021_3_21
- Abstract
- The existing key models for calculating and predicting ROP have been analyzed. The main disadvantages of traditional methods are revealed. A comparative analysis with solutions based on machine learning algorithms is carried out, and the main advantages of the proposed approach are demonstrated.
- Text
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