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Two-point or multiple-point statistics? A comparison between the ensemble Kalman filtering and the ensemble pattern matching inverse methods

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Two-point or multiple-point statistics? A comparison between the ensemble Kalman filtering and the ensemble pattern matching inverse methods

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Li, L.; Srinivasan, S.; Zhou, H.; Gomez-Hernandez, JJ. (2015). Two-point or multiple-point statistics? A comparison between the ensemble Kalman filtering and the ensemble pattern matching inverse methods. Advances in Water Resources. 86:297-310. doi:10.1016/j.advwatres.2015.05.014

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Título: Two-point or multiple-point statistics? A comparison between the ensemble Kalman filtering and the ensemble pattern matching inverse methods
Autor:
Entidad UPV: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Fecha difusión:
Resumen:
The Ensemble Kalman Filter (EnKF) has been commonly used to assimilate real time dynamic data into geologic models over the past decade. Despite its various advantages such as computational efficiency and its capability ...[+]
Palabras clave: Multiple-point statistics , Rejection sampling , Conditional simulation , Ensemble Kalman filter , Inverse method
Derechos de uso: Reserva de todos los derechos
Fuente:
Advances in Water Resources. (issn: 0309-1708 )
DOI: 10.1016/j.advwatres.2015.05.014
Editorial:
Elsevier
Versión del editor: http://dx.doi.org/10.1016/j.advwatres.2015.05.014
Agradecimientos:
The first three authors gratefully acknowledge the financial support by the U.S. Department of Energy through project DE-FE0004962. The fourth author acknowledges the financial support by the Spanish Ministry of Economy ...[+]
Tipo: Artículo

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