Many hydrological applications, such as pumping tests or the set up of in situ remediation protocols, depend to a great extent upon the spatial variability (generically referred as heterogeneity) of the aquifer's hydraulic properties (Rubin, 2003). In particular, it is a common tenet to regard the heterogeneity of the hydraulic conductivity K as the controlling parameter of flow and transport (Dagan, 1989). The variability of K implies that the flow variables are affected by a spatial uncertainty, and therefore developing efficient and reliable methodologies to quantify the K-heterogeneity becomes of paramount importance. This is particularly relevant for strongly heterogeneous formations, where the difference with the homogeneous formation is not evident, sometimes counterintuitive (see, e.g., Janković et al., 2006, and references therein).Among the plethora of methods used to identify the hydraulic conductivity (a comprehensive critical review can be found in Cardiff et al., 2013), pumping tests are (thanks to their minimal equipment's requirement, and ease of implementation), by far, the most prominent tools. Owing to several (mainly economic and logistic) limitations, most of the efforts have focused on the identification of average properties (Copty et al., 2008(Copty et al., , 2011Desbarats, 1994;Zech et al., 2012). However, this is not satisfactory at all, especially to achieve meaningful predictions on solute transport (Dagan, 1989;Rubin, 2003). For this reason, recently it was suggested to carry out measurements over dense borehole spacings in order to achieve accurate three dimensional estimates for mildly heterogeneous aquifers (Cardiff et al., 2013). In line with this trend, the natural question here is whether pumping tests enable one to identify efficiently the heterogeneity structure of the conductivity even in strongly heterogeneous formations. In fact, with the exception of a single pumping test carried out as part of the well known MADE-experiment (Bohling et al., 2012), other experimental investigations under similar conditions limit to deal with "mildly heterogeneous formations" (see, e.g., Fernández-Garcia et al., 2004;Cardiff et al., 2013). Thus, from the experimental point of view, very little has been done when the degree of the formation's heterogeneity is high, and the present study constitutes an attempt to (partially) fill the gap.