Formation Drilling RoP Prediction via Deep Neural Networks with TensorFlow
Author:
Affiliation:
1. University of Bradford,Faculty of Engineering and Informatics,Department of Computer Science,Bradford,West Yorkshire,UK,BD7 1DP
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9911058/9911059/09911155.pdf?arnumber=9911155
Reference29 articles.
1. Prediction of the rate of penetration using logistic regression algorithm of machine learning model;shuang,2021
2. Real-time prediction of rate of penetration while drilling complex lithologies using artificial intelligence techniques;salaheldin;Ain Shams Eng J,0
3. A comprehensive data mining approach to estimate the rate of penetration: Application of neural network, rule-based models and feature ranking;sajad;Journal of Petroleum Science and Engineering,2017
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