Characterisation of the transmissivity field of a fractured and karstic aquifer, Southern France

Abstract

20Geological and hydrological data collected at the Terrieu experimental site 21 north of Montpellier, in a confined carbonate aquifer indicates that both fracture 22 clusters and a major bedding plane form the main flow paths of this highly 23 heterogeneous karst aquifer. However, characterising the geometry and spatial 24 location of the main flow channels and estimating their flow properties remain 25 difficult. These challenges can be addressed by solving an inverse problem using the 26 available hydraulic head data recorded during a set of interference pumping tests. 27We first constructed a 2D equivalent porous medium model to represent the test analytical interpretations of pumping tests, were also added to the inversion models. 40In addition, the efficiency of the adopted inverse algorithm enables us to increase

Hydraulic Tomography: 3D Hydraulic Conductivity, Fracture Network, and Connectivity in Mudstone

“…We used an equivalent porous medium (EPM) modeling approach for forward simulations of the pumping tests, with a 3D heterogeneous distribution of K representing the rock matrix and fractures. Heterogeneous EPM modeling has been applied in many fractured aquifer studies (e.g., Reeves et al ; Tiedeman et al , ; Chapman et al ; Zha et al ; Wang et al ). Discrete fracture network modeling (DFN) is an alternative approach to simulate the flow in fractured systems.…”

“…Recently, Hochstetler et al (2016) used HT to investigate a highly heterogeneous (K range of 10 −7 to 10 −1 m/s) unconsolidated sedimentary aquifer at HRFS with highquality results. For HT in fractured aquifers, synthetic and field studies using drawdown, tracer, and temperature data have been conducted in 2D (e.g., Hao et al 2008;Klepikova et al 2014;Trottier et al 2014;Wang et al 2016;Somogyvári et al 2017;Fischer et al 2018), and 3D (e.g., Klepikova et al 2013) but we are only aware of distributed-parameter 3D HT field studies at the Mizunami research site in Japan (Illman et al 2009;Zha et al 2015). The Mizunami studies were at the scale of >0.5 km lateral and vertical extent, or considerably larger than the HRFS focus of this paper and in situ remediation.…”

Identifying Flow Networks in a Karstified Aquifer by Application of the Cellular Automata‐Based Deterministic Inversion Method (Lez Aquifer, France)

“…A number of well‐developed karstic conduits, with apertures up to 50 cm, have also been identified on downhole video logs. These karstic conduits were found to be present at a depth between 35 and 40 m (Jazayeri Noushabadi et al, ; Wang et al, ) at the interface of the aforementioned two units. The observed local orientation of the karstic conduits is indicated as green lines in Figure c.…”

Shape Effect of Fractures on Intensity and Density of Discreet Fracture Networks

“…Randomized modeling of the discrete fracture network stem from percolation studies the application domain of which was extended in rock engineering by some researchers, including Long et al [3], Beacher [4], Andersson et al [5], and Dershowitz and Einstein [6]. The discrete fracture network models have also been developed and employed by Robinson [7], Dershowitz [8], Long [9], Rouleau [10], Long and Witherspoon [11], Long and Billaux [12], Schwartz et al [13], Schwartz and Smith [14], Long et al [15], Lie et al [16], Sanderson and Nixon [17], Cacas et al [18], Dreuzy et al [19], Elmo and Stead [20], Mauldon and Dershowitz [21], Wang [22], Dershowitz [23], Decker et al [24], Zhang [25], Jin et al [26], Jin et al [27], Mayer and Stead [28] Gao and Kang [29], Vallejos [30], Zhang and Zhao [31], Lie [32], Lie et al [33], Zou et al [34], Wang [35], Lie and Wang [36], Tsang et al [37], Lie et al [38], Brzovic et al [39].…”