Large to intermediate-scale aquifer heterogeneity in fine-grain dominated alluvial fans (Cenozoic As Pontes, NW Spain): Insight based on 3D geostatistical reconstruction

Publication date

2016-09-21T06:27:30Z

2016-09-21T06:27:30Z

2007-08

2016-09-21T06:27:35Z

Abstract

Facies reconstructions are used in hydrogeology to improve the interpretation of aquifer permeability distribution. In the absence of sufficient data to define the heterogeneity due to geological processes, uncertainties in the distribution of aquifer hydrofacies and characteristics may appear. Geometric and geostatistical methods are used to understand and model aquifer hydrofacies distribution, providing models to improve comprehension and development of aquifers. However, these models require some input statistical parameters that can be difficult to infer from the study site. A threedimensional reconstruction of a kilometer scale fine-grain dominated Cenozoic alluvial fan derived from more than 200 continuously cored, closely spaced, and regularly distributed wells is presented. The facies distributions were reconstructed using a genetic stratigraphic subdivision and a deterministic geostatistical algorithm. The reconstruction is only slightly affected by variations in the geostatistical input parameters because of the highdensity data set. Analysis of the reconstruction allowed identification in the proximal to medial alluvial fan zones of several laterally extensive sand bodies with relatively higher permeability; these sand bodies were quantified in terms of volume, mean thickness, maximum area, and maximum equivalent diameter. These quantifications provide trends and geological scenarios for input statistical parameters to model aquifer systems in similar alluvial fan depositional settings.

Document Type

Article


Accepted version

Language

English

Publisher

Springer Verlag

Related items

Versió postprint del document publicat a: http://dx.doi.org/10.1007/s10040-007-0187-8

Hydrogeology Journal, 2007, vol. 15, num. 5, p. 861-876

http://dx.doi.org/10.1007/s10040-007-0187-8

Recommended citation

This citation was generated automatically.

Rights

(c) Springer Verlag, 2007

This item appears in the following Collection(s)