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A locally adaptive kernel regression method for facies delineation

Author
Fernandez, D.; Barahona-Palomo, M.; Henri, C.; Sanchez-Vila, X.
Type of activity
Journal article
Journal
Journal of hydrology
Date of publication
2015-12-01
Volume
531
Number
Part 1
First page
62
Last page
72
DOI
https://doi.org/10.1016/j.jhydrol.2015.09.066 Open in new window
Project funding
AJUT ICREA ACADEMIA 2011
Demonstrating manager aquifer recharge as a solution to water scarcity and drought
Transient flow enhanced aquifer remediation
Repository
http://hdl.handle.net/2117/81069 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0022169415007490 Open in new window
Abstract
Facies delineation is defined as the separation of geological units with distinct intrinsic characteristics (grain size, hydraulic conductivity, mineralogical composition). A major challenge in this area stems from the fact that only a few scattered pieces of hydrogeological information are available to delineate geological facies. Several methods to delineate facies are available in the literature, ranging from those based only on existing hard data, to those including secondary data or externa...
Citation
Fernandez, D., Barahona-Palomo, M., Henri, C., Sanchez, F. A locally adaptive kernel regression method for facies delineation. "Journal of hydrology. New Zealand", 01 Desembre 2015, vol. 531, núm. Part 1, p. 62-72.
Keywords
Geological facies reconstruction, Geostatistics, Solute transport, Stochastic groundwater hydrology
Group of research
GHS - Hydrogeology Group

Participants

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