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Lithofacies identification of shale reservoirs using a tree augmented Bayesian network: A case study of the lower Silurian Longmaxi formation in the changning block, South Sichuan basin, China
Research article (Geoenergy Science and Engineering, 2022) · cited 18× · AI/ML
Lithofacies identification of shale reservoirs using a tree augmented Bayesian network: A case study of the lower Silurian Longmaxi formation in the changning block, South Sichuan basin, China
Summary
Lithofacies identification of shale reservoirs using a tree augmented Bayesian network: A case study of the lower Silurian Longmaxi formation in the changning block, South Sichuan basin, China is a scholarly article[1].
Key Facts
Lithofacies identification of shale reservoirs using a tree augmented Bayesian network: A case study of the lower Silurian Longmaxi formation in the changning 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 reservoirs using a tree augmented Bayesian network: A case study of the lower Silurian Longmaxi formation in the changning block, South Sichuan basin, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/lithofacies-identification-of-shale-reservoirs-using-a-tree-augmented-bayesian-network-a-case-study-of-the-lower-siluria
MLA“Lithofacies identification of shale reservoirs using a tree augmented Bayesian network: A case study of the lower Silurian Longmaxi formation in the changning block, South Sichuan basin, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lithofacies-identification-of-shale-reservoirs-using-a-tree-augmented-bayesian-network-a-case-study-of-the-lower-siluria.
BibTeX@misc{4ortxyz_lithofacies-identification-of-shale-reservoirs-using-a-tree-augmented-bayesian-network-a-case-study-of-the-lower-siluria_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Lithofacies identification of shale reservoirs using a tree augmented Bayesian network: A case study of the lower Silurian Longmaxi formation in the changning block, South Sichuan basin, China}}, year = {2026}, url = {https://4ort.xyz/entity/lithofacies-identification-of-shale-reservoirs-using-a-tree-augmented-bayesian-network-a-case-study-of-the-lower-siluria}, 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 reservoirs using a tree augmented Bayesian network: A case study of the lower Silurian Longmaxi formation in the changning block, South Sichuan basin, China — https://4ort.xyz/entity/lithofacies-identification-of-shale-reservoirs-using-a-tree-augmented-bayesian-network-a-case-study-of-the-lower-siluria (retrieved 2026-05-24)
