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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
Research article (Marine and Petroleum Geology, 2021) · cited 44× · AI/ML
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
Summary
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 is a scholarly article[1].
Key Facts
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's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-intelligent-approach-for-reservoir-quality-evaluation-in-tight-sandstone-reservoir-using-gradient-boosting-decision-t
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-intelligent-approach-for-reservoir-quality-evaluation-in-tight-sandstone-reservoir-using-gradient-boosting-decision-t.
BibTeX@misc{4ortxyz_an-intelligent-approach-for-reservoir-quality-evaluation-in-tight-sandstone-reservoir-using-gradient-boosting-decision-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/an-intelligent-approach-for-reservoir-quality-evaluation-in-tight-sandstone-reservoir-using-gradient-boosting-decision-t}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/an-intelligent-approach-for-reservoir-quality-evaluation-in-tight-sandstone-reservoir-using-gradient-boosting-decision-t (retrieved 2026-05-24)