Evaluation of machine learning methods for formation lithology identification: A comparison of tuning processes and model performances-Reference-Cited by-同舟云学术

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Evaluation of machine learning methods for formation lithology identification: A comparison of tuning processes and model performances

Published:2018-01 Issue: Volume:160 Page:182-193
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Xie Yunxin,Zhu Chenyang,Zhou Wen,Li Zhongdong,Liu Xuan,Tu Mei

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference41 articles.

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2. Well log interpretation model for the determination of lithology and fluid contents;Akinyokun;Pac. J. Sci. Technol.,2009

3. On the capability of support vector machines to classify lithology from well logs;Al-Anazi;Nat. Resour. Res.,2010

4. Neutral network in lithology determination;An;J. Comput. Sci. Cybern.,2013

5. Bagging predictors;Breiman;Mach. Learn.,1996

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