The application of machine learning under supervision in identification of shale lamina combination types — A case study of Chang 73 sub-member organic-rich shales in the Triassic Yanchang Formation, Ordos Basin, NW China

Author:

Zhang Yuan-Yuan,Xi Ke-Lai,Cao Ying-Chang,Yu Bao-Hai,Wang Hao,Lin Mi-Ruo,Li Ke,Zhang Yang-Yang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Economic Geology,Geochemistry and Petrology,Geology,Geophysics,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference32 articles.

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3. The types, potentials and prospects of continental shale oil in China;Du;China Petroleum Exploration,2019

4. Geological theory and practice of petroleum exploration in the Ordos Basin;Fu;Natural Gas Geoscience,2013

5. Geological characteristics and exploration practice of the self-sourced reservoir in Chang 7 member of Triassic Yanchang Formation, Ordos Basin, NW China;Fu;Petrol. Explor. Dev.,2020

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