An Adaptive Optimization Method for Rate of Penetration Based on Online Learning
Author:
Affiliation:
1. School of Automation Engineering University of Electronic Science and Technology of China Chengdu,Sichuan Province,China
2. Glasgow College University of Electronic Science and Technology of China Chengdu,Sichuan Province,China
Funder
CNPC Chuanqing Drilling Engineering Company Limited
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10366518/10366520/10367170.pdf?arnumber=10367170
Reference20 articles.
1. Drilling rate at the technicallimit[J];Akgun;International Journal of Petroleum Science and Technology,2007
2. Performance assessment of rotary drilling using non-linear multiple regression analysis and multilayer perceptron neural network
3. Performance Comparison of Algorithms for Real-Time Rate-of-Penetration Optimization in Drilling Using Data-Driven Models
4. Evaluation of coupled machine learning models for drilling optimization
5. A Deep Learning Model for Rate of Penetration Prediction and Drilling Performance Optimization Using Genetic Algorithm
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