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A local global pattern matching method for subsurface stochastic inverse modeling

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A local global pattern matching method for subsurface stochastic inverse modeling

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Li ., L.; Srinivasan, S.; Zhou, H.; Gómez Hernández, JJ. (2015). A local global pattern matching method for subsurface stochastic inverse modeling. Environmental Modelling and Software. 70:55-64. doi:10.1016/j.envsoft.2015.04.008

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Title: A local global pattern matching method for subsurface stochastic inverse modeling
Author:
UPV Unit: 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
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Abstract:
Inverse modeling is an essential step for reliable modeling of subsurface flow and transport, which is important for groundwater resource management and aquifer remediation. Multiple-point statistics (MPS) based reservoir ...[+]
Subjects: Multiple-point geostatistics , Conditional simulation , Inverse modeling , Global matching , Uncertainty assessment
Copyrigths: Reserva de todos los derechos
Source:
Environmental Modelling and Software. (issn: 1364-8152 )
DOI: 10.1016/j.envsoft.2015.04.008
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.envsoft.2015.04.008
Thanks:
The authors gratefully acknowledge the financial support by DOE through projects DE-FE0004962 and DE-SC0001114. The last author acknowledges the support of the Spanish Ministry of Economy and Competitiveness through project ...[+]
Type: Artículo

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