Tabnet efficiency for facies classification and learning feature embedding from well log data-Reference-Cited by-同舟云学术

Tabnet efficiency for facies classification and learning feature embedding from well log data

Published:2023-06-23 Issue: Volume: Page:1-16
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Ta Viet-Cuong¹^ORCID,Hoang Thi-Linh¹,Doan Ngoc-San²,Nguyen Van-Thang³,Nguyen Dieu Nuong⁴,Pham Thi Thanh Thuy⁵,Nguyen Dang Nam⁶⁷^ORCID

Affiliation:

1. HMI Laboratory, Faculty of Information Technology, VNU University of Engineering and Technology, Hanoi, Vietnam

2. PetroVietnam University, Ba Ria City, Vietnam

3. PVEP SH - PVEP Songhong Company Limited, Hanoi, Vietnam

4. PVN – Vietnam Oil and Gas Group, Hanoi, Vietnam

5. PSA – Academy of People Security, Ha Noi, Vietnam

6. Future Materials & Devices Lab., Institute of Fundamental and Applied Sciences, Ho Chi Minh City 700000, Viet Nam

7. The Faculty of Environmental and Chemical Engineering, Duy Tan University, Danang 550000, Viet Nam

Funder

Vietnam National Science and Technology Program

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2023.2223623

Reference23 articles.

1. TabNet: Attentive Interpretable Tabular Learning

2. End-to-End Object Detection with Transformers

3. Chen, T., and C. Guestrin. 2016. Xgboost: A scalable tree boosting system. Paper presented at the Proceedings of the 22nd ACM Sigkdd International Conference on Knowledge Discovery and Data Mining. Aug 13, 785-794.

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