Effect of Genetic Algorithm in Optimizing Deep Structured Petroleum Reservoir Classifier-Reference-Cited by-同舟云学术

Effect of Genetic Algorithm in Optimizing Deep Structured Petroleum Reservoir Classifier

Published:2022-11-03 Issue: Volume: Page:
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Container-title:2022 7th International Conference on Computing, Communication and Security (ICCCS)
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Author:

Pandey Rakesh Kumar¹,Kumar Anil¹,Sharma Akhilesh Kumar²,Sharma Ratnesh Kumar³,Nguyen Ha Huy Cuong⁴

Affiliation:

1. DIT University,School of Computing,Department of Petroleum and Energy Studies,Dehradun,India

2. Manipal University Jaipur,SIT,IT department,Jaipur,India

3. University of Technology,Department of Computer Science,Sydney,Australia

4. Viet Nam Korea University of Information and Communication Technology,Da Nang City,Viet Nam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10079230/10079239/10079293.pdf?arnumber=10079293

Reference14 articles.

1. Hydrocarbon reservoir model detection from pressure transient data using coupled artificial neural network—Wavelet transform approach

2. Employing deep learning neural networks for characterizing dual-porosity reservoirs based on pressure transient tests;pandey;J Energy Resour Technol,2022

3. Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network

4. Genetic algorithm optimization of deep structured classifier-predictor models for pressure transient analysis;pandey;J Energy Resour Technol,2023

5. Automatic well test interpretation based on convolutional neural network for a radial composite reservoir

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