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Machine learning (ML) for fluvial lithofacies identification from well logs: A hybrid classification model integrating lithofacies characteristics, logging data distributions, and ML models applicability
Research article (Geoenergy Science and Engineering, 2023) · cited 18× · AI/ML
Machine learning (ML) for fluvial lithofacies identification from well logs: A hybrid classification model integrating lithofacies characteristics, logging data distributions, and ML models applicability
Summary
Machine learning (ML) for fluvial lithofacies identification from well logs: A hybrid classification model integrating lithofacies characteristics, logging data distributions, and ML models applicability is a scholarly article[1].
Key Facts
Machine learning (ML) for fluvial lithofacies identification from well logs: A hybrid classification model integrating lithofacies characteristics, logging data distributions, and ML models applicability's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Machine learning (ML) for fluvial lithofacies identification from well logs: A hybrid classification model integrating lithofacies characteristics, logging data distributions, and ML models applicability. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-ml-for-fluvial-lithofacies-identification-from-well-logs-a-hybrid-classification-model-integrating-lith
MLA“Machine learning (ML) for fluvial lithofacies identification from well logs: A hybrid classification model integrating lithofacies characteristics, logging data distributions, and ML models applicability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-ml-for-fluvial-lithofacies-identification-from-well-logs-a-hybrid-classification-model-integrating-lith.
BibTeX@misc{4ortxyz_machine-learning-ml-for-fluvial-lithofacies-identification-from-well-logs-a-hybrid-classification-model-integrating-lith_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning (ML) for fluvial lithofacies identification from well logs: A hybrid classification model integrating lithofacies characteristics, logging data distributions, and ML models applicability}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-ml-for-fluvial-lithofacies-identification-from-well-logs-a-hybrid-classification-model-integrating-lith}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning (ML) for fluvial lithofacies identification from well logs: A hybrid classification model integrating lithofacies characteristics, logging data distributions, and ML models applicability — https://4ort.xyz/entity/machine-learning-ml-for-fluvial-lithofacies-identification-from-well-logs-a-hybrid-classification-model-integrating-lith (retrieved 2026-05-24)