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Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China
Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China
Summary
Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China is a scholarly article[1].
Key Facts
Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/lithofacies-identification-of-shale-formation-based-on-mineral-content-regression-using-lightgbm-algorithm-a-case-study-
MLA“Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lithofacies-identification-of-shale-formation-based-on-mineral-content-regression-using-lightgbm-algorithm-a-case-study-.
BibTeX@misc{4ortxyz_lithofacies-identification-of-shale-formation-based-on-mineral-content-regression-using-lightgbm-algorithm-a-case-study-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China}}, year = {2026}, url = {https://4ort.xyz/entity/lithofacies-identification-of-shale-formation-based-on-mineral-content-regression-using-lightgbm-algorithm-a-case-study-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China — https://4ort.xyz/entity/lithofacies-identification-of-shale-formation-based-on-mineral-content-regression-using-lightgbm-algorithm-a-case-study- (retrieved 2026-05-24)
