Characterizing Rock Facies Using Machine Learning Algorithm Based on a Convolutional Neural Network and Data Padding Strategy-Reference-Cited by-同舟云学术

Characterizing Rock Facies Using Machine Learning Algorithm Based on a Convolutional Neural Network and Data Padding Strategy

Published:2019-03-25 Issue:8 Volume:176 Page:3593-3605
ISSN:0033-4553
Container-title:Pure and Applied Geophysics
language:en
Short-container-title:Pure Appl. Geophys.

Author:

Wei Zhili,Hu Hao,Zhou Hua-wei,Lau August

Publisher

Springer Science and Business Media LLC

Subject

Geochemistry and Petrology,Geophysics

Link

http://link.springer.com/content/pdf/10.1007/s00024-019-02152-0.pdf

Reference13 articles.

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2. Busch, J., Fortney, W., & Berry, L. J. S. (1987). Determination of lithology from well logs by statistical analysis. SPE Formation Evaluation, 2(04), 412–418.

3. Cuddy, S. (1997). The application of the mathematics of fuzzy logic to petrophysics. In SPWLA 38th annual logging symposium, 1997. Society of Petrophysicists and Well-Log Analysts.

4. Delfiner, P., Peyret, O., & Serra, O. J. S. (1987). Automatic determination of lithology from well logs. SPE Formation Evaluation, 2(03), 303–310.

5. Dubois, M., Bohling, G., & Chakrabarti, S. (2004). Comparison of rock facies classification using three statistically based classifiers. Technical Report 2004-64.

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