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dc.contributor.author
Perdomo, Santiago  
dc.contributor.author
Ainchil, Jeronimo Enrique  
dc.contributor.author
Kruse, Eduardo Emilio  
dc.date.available
2020-04-01T16:25:44Z  
dc.date.issued
2014-06  
dc.identifier.citation
Perdomo, Santiago; Ainchil, Jeronimo Enrique; Kruse, Eduardo Emilio; Hydraulic parameters estimation from well logging resistivity and geoelectrical measurements; Elsevier Science; Journal Of Applied Geophysics; 105; 6-2014; 50-58  
dc.identifier.issn
0926-9851  
dc.identifier.uri
http://hdl.handle.net/11336/101523  
dc.description.abstract
In this paper, a methodology is suggested for deriving hydraulic parameters, such as hydraulic conductivity or transmissivity combining classical hydrogeological data with geophysical measurements. Estimates values of transmissivity and conductivity, with this approach, can reduce uncertainties in numerical model calibration and improve data coverage, reducing time and cost of a hydrogeological investigation at a regional scale. The conventional estimation of hydrogeological parameters needs to be done by analyzing wells data or laboratory measurements. Furthermore, to make a regional survey many wells should be considered, and the location of each one plays an important role in the interpretation stage. For this reason, the use of geoelectrical methods arises as an effective complementary technique, especially in developing countries where it is necessary to optimize resources. By combining hydraulic parameters from pumping tests and electrical resistivity from well logging profiles, it was possible to adjust three empirical laws in a semi-confined alluvial aquifer in the northeast of the province of Buenos Aires (Argentina). These relations were also tested to be used with surficial geoelectrical data. The hydraulic conductivity and transmissivity estimated in porous material were according to expected values for the region (20 m/day; 457 m2/day), and are very consistent with previous results from other authors (25 m/day and 500 m2/day). The methodology described could be used with similar data sets and applied to other areas with similar hydrogeological conditions.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.relation
Ver también http://hdl.handle.net/11336/82521  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Geophysical methods  
dc.subject
Hydraulic properties  
dc.subject
Groundwater exploration  
dc.subject
Semi-confined aquifer  
dc.subject
Argentina  
dc.subject.classification
Geoquímica y Geofísica  
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Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Hydraulic parameters estimation from well logging resistivity and geoelectrical measurements  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-03-30T16:22:18Z  
dc.journal.volume
105  
dc.journal.pagination
50-58  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Perdomo, Santiago. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina  
dc.description.fil
Fil: Ainchil, Jeronimo Enrique. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina  
dc.description.fil
Fil: Kruse, Eduardo Emilio. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Cátedra de Hidrología General; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina  
dc.journal.title
Journal Of Applied Geophysics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0926985114000597  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jappgeo.2014.02.020