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...

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Bibliographic Details
Main Authors: Yulai Zhao, Zhiqiang Huang, Fubin Xin, Guilin Qi, Hao Huang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/16/5912