Kick Prediction Method Based on Artificial Neural Network Model
Kick is one of the most important drilling problems, and because its occurrence makes drilling engineering extremely complex, it is essential to predict the possibility of kick as soon as possible. In this study, k-means clustering was combined with four artificial neural networks: regularized RBFNN...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/15/16/5912 |