Brittleness index prediction in shale gas reservoirs based on efficient network models

Author:

Shi Xian,Liu Gang,Cheng Yuanfang,Yang Liu,Jiang Hailong,Chen Lei,Jiang Shu,Wang Jian

Funder

National Basic Research Program of China

Program of Changjiang Scholars and Innovative Research Team

China National Natural Science Foundation

Specialized Research Fund for the Doctoral Program of Higher Education of China

Natural Science Foundation of Shandong Province

Petroleum Exploration and Production Research Institute

Publisher

Elsevier BV

Subject

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

Reference35 articles.

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3. Review and performance comparison of SVM- and ELM-based classifiers;Chorowski;Neurocomputing,2014

4. The relationship between fracture complexity, reservoir properties, and fracture treatment design: SPE115769;Cipolla,2008

5. Application of a PSO-based neural network in analysis of outcomes of construction claims;Chau;J. Autom. Constr.,2007

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