Neural network applications to reservoirs: Physics-based models and data models

Tahar Aifa

doi:10.1016/j.petrol.2014.10.015

Journal Articles Journal of Petroleum Science and Engineering Year : 2014

Neural network applications to reservoirs: Physics-based models and data models

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Tahar Aifa

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Systèmes Tectoniques

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Earth Sciences

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Editorial_Aifa-JPSE-2014.pdf (150.12 Ko)

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https://hal-insu.archives-ouvertes.fr/insu-01084932

Submitted on : Thursday, November 20, 2014-3:46:31 PM

Last modification on : Monday, May 1, 2023-3:28:36 AM

Long-term archiving on: Monday, February 23, 2015-8:50:17 AM

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insu-01084932 , version 1 (20-11-2014)

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HAL Id : insu-01084932 , version 1
DOI : 10.1016/j.petrol.2014.10.015

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Tahar Aifa. Neural network applications to reservoirs: Physics-based models and data models. Journal of Petroleum Science and Engineering, 2014, insu-01084932, 123, pp.1-6. ⟨10.1016/j.petrol.2014.10.015⟩. ⟨insu-01084932⟩

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Neural network applications to reservoirs: Physics-based models and data models

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