Joint History Matching of Multiple Types of Field Data in a 3D Field-Scale Case Study

This work presents an ensemble-based workflow to simultaneously assimilate multiple types of field data in a proper and consistent manner. The aim of using multiple field datasets is to improve the reliability of estimated reservoir models and avoid the underestimation of uncertainties. The proposed...

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Hlavní autoři: William Chalub Cruz, Xiaodong Luo, Kurt Rachares Petvipusit
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-08-01
Edice:Energies
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On-line přístup:https://www.mdpi.com/1996-1073/15/17/6372