Formation lithology classification using scalable gradient boosted decision trees-Reference-Cited by-同舟云学术

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Formation lithology classification using scalable gradient boosted decision trees

Published:2019-09 Issue: Volume:128 Page:392-404
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Dev Vikrant A.,Eden Mario R.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference40 articles.

1. Data classification;Aggarwal,2015

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

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

4. Online gradient boosting;Beygelzimer;Adv. Neural Inf. Process. Syst.,2015

5. A random forest guided tour;Biau;TEST,2016

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