On application of machine learning method for history matching and forecasting of times series data from hydrocarbon recovery process using water flooding

Research article (Petroleum Science and Technology, 2021) · cited 23× · AI/ML
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On application of machine learning method for history matching and forecasting of times series data from hydrocarbon recovery process using water flooding

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On application of machine learning method for history matching and forecasting of times series data from hydrocarbon recovery process using water flooding is a scholarly article[1].

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  • On application of machine learning method for history matching and forecasting of times series data from hydrocarbon recovery process using water flooding's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). On application of machine learning method for history matching and forecasting of times series data from hydrocarbon recovery process using water flooding. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-application-of-machine-learning-method-for-history-matching-and-forecasting-of-times-series-data-from-hydrocarbon-rec
MLA “On application of machine learning method for history matching and forecasting of times series data from hydrocarbon recovery process using water flooding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-application-of-machine-learning-method-for-history-matching-and-forecasting-of-times-series-data-from-hydrocarbon-rec.
BibTeX @misc{4ortxyz_on-application-of-machine-learning-method-for-history-matching-and-forecasting-of-times-series-data-from-hydrocarbon-rec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On application of machine learning method for history matching and forecasting of times series data from hydrocarbon recovery process using water flooding}}, year = {2026}, url = {https://4ort.xyz/entity/on-application-of-machine-learning-method-for-history-matching-and-forecasting-of-times-series-data-from-hydrocarbon-rec}, note = {Accessed: 2026-05-24}}
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