An intelligent approach for reservoir quality evaluation in tight sandstone reservoir using gradient boosting decision tree algorithm - A case study of the Yanchang Formation, mid-eastern Ordos Basin, China-Reference-Cited by-同舟云学术

An intelligent approach for reservoir quality evaluation in tight sandstone reservoir using gradient boosting decision tree algorithm - A case study of the Yanchang Formation, mid-eastern Ordos Basin, China

Published:2021-04 Issue: Volume:126 Page:104939
ISSN:0264-8172
Container-title:Marine and Petroleum Geology
language:en
Short-container-title:Marine and Petroleum Geology

Author:

Liu Jing-Jing,Liu Jian-Chao

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Stratigraphy,Economic Geology,Geology,Geophysics,Oceanography

Reference39 articles.

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3. Petrofacies prediction and 3-D geological model in tight gas sandstone reservoirs by integration of well logs and geostatistical modeling;Cao;Mar. Petrol. Geol.,2020

4. The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation;Chicco;BMC Genom.,2020

5. Prediction of diagenetic facies using well logs – a case study from the upper Triassic Yanchang Formation, Ordos Basin, China;Cui;Mar. Petrol. Geol.,2017

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