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Thin Reservoir Identification Based on Logging Interpretation by Using the Support Vector Machine Method
Research article (Energies, 2023) · cited 11× · AI/ML
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Summary
Thin Reservoir Identification Based on Logging Interpretation by Using the Support Vector Machine Method is a scholarly article[1].
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Thin Reservoir Identification Based on Logging Interpretation by Using the Support Vector Machine Method's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Thin Reservoir Identification Based on Logging Interpretation by Using the Support Vector Machine Method. Retrieved May 24, 2026, from https://4ort.xyz/entity/thin-reservoir-identification-based-on-logging-interpretation-by-using-the-support-vector-machine-method
MLA“Thin Reservoir Identification Based on Logging Interpretation by Using the Support Vector Machine Method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/thin-reservoir-identification-based-on-logging-interpretation-by-using-the-support-vector-machine-method.
BibTeX@misc{4ortxyz_thin-reservoir-identification-based-on-logging-interpretation-by-using-the-support-vector-machine-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Thin Reservoir Identification Based on Logging Interpretation by Using the Support Vector Machine Method}}, year = {2026}, url = {https://4ort.xyz/entity/thin-reservoir-identification-based-on-logging-interpretation-by-using-the-support-vector-machine-method}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Thin Reservoir Identification Based on Logging Interpretation by Using the Support Vector Machine Method — https://4ort.xyz/entity/thin-reservoir-identification-based-on-logging-interpretation-by-using-the-support-vector-machine-method (retrieved 2026-05-24)