A physically-supported data-driven proxy modeling based on machine learning classification methods: Application to water front movement prediction

Research article (Journal of Petroleum Science and Engineering, 2020) · cited 13× · AI/ML
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A physically-supported data-driven proxy modeling based on machine learning classification methods: Application to water front movement prediction

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A physically-supported data-driven proxy modeling based on machine learning classification methods: Application to water front movement prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A physically-supported data-driven proxy modeling based on machine learning classification methods: Application to water front movement prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-physically-supported-data-driven-proxy-modeling-based-on-machine-learning-classification-methods-application-to-water-
MLA “A physically-supported data-driven proxy modeling based on machine learning classification methods: Application to water front movement prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-physically-supported-data-driven-proxy-modeling-based-on-machine-learning-classification-methods-application-to-water-.
BibTeX @misc{4ortxyz_a-physically-supported-data-driven-proxy-modeling-based-on-machine-learning-classification-methods-application-to-water-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A physically-supported data-driven proxy modeling based on machine learning classification methods: Application to water front movement prediction}}, year = {2026}, url = {https://4ort.xyz/entity/a-physically-supported-data-driven-proxy-modeling-based-on-machine-learning-classification-methods-application-to-water-}, note = {Accessed: 2026-05-24}}
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