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A Pilot Point Guided Pattern Matching Approach to Integrate Dynamic Data into Geological Modeling

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A Pilot Point Guided Pattern Matching Approach to Integrate Dynamic Data into Geological Modeling

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Li, L.; Srinivasan, S.; Zhou, H.; Gómez-Hernández, JJ. (2013). A Pilot Point Guided Pattern Matching Approach to Integrate Dynamic Data into Geological Modeling. Advances in Water Resources. 62(Part A):125-138. doi:10.1016/j.advwatres.2013.10.008

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/39704

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Title: A Pilot Point Guided Pattern Matching Approach to Integrate Dynamic Data into Geological Modeling
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient
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Abstract:
Methods based on multiple-point statistics (MPS) have been routinely used to characterize complex geological formations in the last decade. These methods use the available static data (for example, measured conductivities) ...[+]
Subjects: Multiple-point geostatistics , Conditional simulation , Inverse modeling , Ensemble-based methods , History matching
Copyrigths: Reserva de todos los derechos
Source:
Advances in Water Resources. (issn: 0309-1708 )
DOI: 10.1016/j.advwatres.2013.10.008
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.advwatres.2013.10.008
Thanks:
The first three authors gratefully acknowledge the financial support by DOE through project DE-FE0004962. The fourth author acknowledges the financial support by the Spanish Ministry of Science and Innovation through project ...[+]
Type: Artículo

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