Drilling formation perception by supervised learning: Model evaluation and parameter analysis

Author:

Ye Zhihui,Guo Siyao,Chen Dong,Wang Han,Li Shouding

Funder

China National Petroleum Corporation

National Key Research and Development Program of China

Chinese Academy of Sciences

China University of Petroleum, Beijing

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference28 articles.

1. Well log interpretation model for the determination of lithology and fluid contents;Akinyokun;The Pacific Journal of Science and Technology,2009

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

3. Neural network modeling the effect of oxygenate additives on the performance of Pt–Sn/γ-Al 2 O 3 catalyst in propane dehydrogenation;Amini;Applied Petrochemical Research,2013

4. Estimating the accuracy of learned concepts;Bailey,1993

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