Missing log synthesis based on stacking ensemble learning with invariable features-Reference-Cited by-同舟云学术

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Missing log synthesis based on stacking ensemble learning with invariable features

Published:2024-04-15 Issue: Volume: Page:1-23
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Cao Zhimin¹²,Liu Meng¹²,Han Jian¹²,Li Jialu¹²,Wang Sijie¹²,Liu Xingbin¹²

Affiliation:

1. School of Physics and Electronic Engineering, North-East Petroleum University, Daqing, Heilongjiang, China

2. Research and Development Center for Testing and Measurement Technology and Instrumentation, Heilongjiang Province Universities, Northeast Petroleum University, Daqing, Heilongjiang, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2024.2328793

Reference34 articles.

1. Fast fuzzy modeling method to estimate missing logsin hydrocarbon reservoirs

2. A new empirical model for enhancing well log permeability prediction, using nonlinear regression method: Case study from Hassi-Berkine oil field reservoir – Algeria

3. A Machine Learning Approach to Shear Sonic Log Prediction

4. Streamflow forecasting by SVM with quantum behaved particle swarm optimization

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