Combined interpretation of pumping and tracer tests: theoretical considerations and illustration with a field test
Introduction
Mass that is dissolved in ground water undergoes transport and redistribution by flow. This solute transport is involved in many problems in ground water systems, for instance in contaminant flow, distribution of fresh and salt water, water quality assessment, etc. Understanding of the parameters controlling solute transport in a ground water system is therefore a major concern in hydrogeological research. Two processes, advection and dispersion, govern this solute transport. Advection is a mass transport process due to the flow of water in which mass is dissolved. The direction and rate of transport coincides with the ground water flow. This process determines therefore when a mass dissolved in ground water is observed at a certain place. Advection is completely determined by ground water velocity. Hydraulic conductivity, porosity and hydraulic gradient determine ground water velocity. Dispersion is a process of fluid mixing that causes the development of a mixing zone between the dissolved mass and the displaced fluid with a different composition. Dispersion determines the evolution of this zone or, in other words, the evolution of the concentration during the passage of a tracer plume. The solute transport parameters, longitudinal and transverse dispersivity describe this process along with the ground water flow velocities. This paper focuses on advection and how to predict reliably the time of maximum breakthrough of dissolved masses.
Hydraulic and solute transport parameters can be determined by hydraulic testing of aquifers. Two basic and well proven methods are available in hydrogeological research: pumping and tracer tests. During a pumping test, ground water is extracted from a permeable layer. Hydraulic heads are logged in the pumped and surrounding layers. Horizontal conductivities, specific elastic storages and hydraulic resistances (or vertical conductivities) can then be derived (Lebbe, 1999). During a tracer test, a tracer is injected in the ground water reservoir and its movements and distribution are observed. Many different working methods have been developed (Domenico and Schwartz, 1997). Longitudinal and transverse dispersivity and the ratio of hydraulic conductivity and effective porosity can be determined. Hence, both tests deal with advective properties of the aquifer. With a pumping test, hydraulic conductivities are derived from drawdown measurements and with a porosity estimate the velocity field around the pumping well can be calculated. With a tracer test, travel times are measured between observation wells. These allow the derivation of ground water velocities. Along with the observed gradients between the wells, the ratio of the horizontal conductivity to the effective porosity can be derived. It is expected that both tests result in approximately the same value for the horizontal conductivity when performed on the same location and in the same aquifer. With both tests, breakthrough times should be predicted and/or explained coherently. Few articles dealing with combined interpretation of pumping and tracer tests are available in literature. Results of those few published studies, however, question seriously the conformity of pumping and tracer test interpretations. Niemann and Rovey (2000) for instance find hydraulic conductivities derived from a pumping test which are 10 to 20 times larger than derived with a tracer test. Differences are attributed to scale effects and influences of heterogeneities. Thorbjarnarson et al. (1998) on the other hand point to the difference between average aquifer horizontal conductivity derived with a pumping test and the horizontal conductivity of different layers in an aquifer derived with a tracer test. Horizons where tracer movement would be six times larger than calculated with the mean horizontal conductivity are found. Use of pumping test-derived average conductivities would underestimate the travel distance of tracers. In this context Mallants et al. (2000) point to the importance of good estimates of conductivity in solute transport. In most studies, tracer tests are considered to be more accurate because they would better implement the heterogeneity. Freeze and Cherry (1979) have seriously questioned the uniqueness of a pumping test interpretation. They argue for ‘simpler’ well tests.
Here we want to discus the performance of pumping and tracer test executions and the validity of pumping test analyses. These theoretical considerations are demonstrated with a field test in a layered heterogeneous aquifer in the Belgian coastal plain. A pumping test and a tracer test using a conservative tracer (salt water) were performed. It is argued that in predominantly layered heterogeneous media, pumping test data and tracer test data can brought into good agreement if the pumping test is analysed with a realistic aquifer model, incorporating geological data on the layering. The remainder of this paper is organised as following. First, pumping test interpretation with different analytical models and an inverse numerical model is discussed. Then, some major points of attention in pumping and tracer test performance are given. Finally, interpretation of a pumping and tracer test in the Belgian coastal plain is presented.
Section snippets
Pumping tests analyses
Fig. 1 shows schematically the flow in permeable and semi-permeable layers of a ground water reservoir during pumping. Layers A and C are semi-permeable and layer B is a permeable layer. When water is extracted from layer B, ground water flow occurs in this layer towards the screen. This ground water flow is characterised by the horizontal conductivity Kh and specific elastic storage Ss from layer B and the effect of pumping can be observed by the lowering of the hydraulic head in observation
Interpretation methods derived from analytical models
The model of Theis (1935) describes the unsteady state ground water flow in a confined aquifer. Specific boundary conditions and assumptions are made for the solution of the ground water flow equation. The permeable layer is considered bounded above and below by an impermeable layer. Further, all layers are considered of infinite lateral extend, homogeneous and of constant thickness. Discharge rate is constant and the pumping well is screened over the entire thickness of the permeable layer.
Inverse numerical model
HYPARIDEN (HYdraulic PARameter IDENtification) (Lebbe, 1999), is a set of computer codes developed as a generalised interpretation method for single and multiple pumping tests. It is based on an axial-symmetrical model. The ground water reservoir can be subdivided in a large number of layers, each with a horizontal conductivity, a specific elastic storage and a value for the hydraulic resistance. The hydraulic resistance of a layer is its thickness divided by its vertical conductivity. In this
Combined pumping and tracer test
Observation wells with long screens are often used during tracer tests. This provides the opportunity to take water samples on different levels without the need to install well nests. Although this method is very practical for tracer tests, using these as observation wells during a pumping test is not advisable. In most cases, layers with different hydraulic parameters are intersected. Drawdowns observed in such wells are in most cases not representative for one particular layer but depend on
Practicle example: the Houtave test site
The theoretical considerations are illustrated with a pumping and tracer test conducted in the phreatic aquifer of the Belgian coastal plain, near the village of Houtave. Fig. 2 shows a schematical cross-section of the site. The aquifer is bounded below by clay. This clay is considered here as impermeable. On top of the clay layer, a semi-permeable layer of sandy clay to clayey sand with horizons of sandstones is found. Above this, a permeable layer of fine siltous sand is present. The top of
Discussion and conclusions
A pumping and tracer test performed at the Houtave test site illustrates that proper analysis of both leads to coherent results. This is demonstrated by the successful prediction of the maximum breakthrough times in two observation points using hydraulic parameters derived from the pumping test. The important step herein is the careful interpretation of the pumping test in which the selection of the proper model is very important. The importance of this selection is illustrated by the
Acknowledgements
The authors would like to thank Prof. Dr K. Thorbjarnarson from San Diego State University (Department of Geological Sciences) and one anonymous reviewer for their critical suggestions to improve the paper.
References (25)
Mixing cup and through-the-wall measurements in field-scale tracer tests and their related scales of averaging
J. Hydrol.
(1987)- Boulton N.S., 1955. Unsteady radial flow to a pumped well allowing for delayed yield from storage. IASH Assemblée...
A finite difference method for unsteady flow in variably saturated process media, application to a single pumping well
Water Resour. Res.
(1971)Numerical simulation of flow in an aquifer overlain by a water table aquitard
Water Resour. Res.
(1972)- et al.
Effect of a watertable aquitard on drawdown in an underlying pumping aquifer
Water Resour. Res.
(1973) - et al.
A generalized graphical method for evaluating formation constants and summarising well field history
Am. Geophys. Union Trans.
(1946) - et al.
Physical and Chemical Hydrogeology
(1997) - et al.
A dual-domain mass transfer approach for modeling solute transport in heterogeneous aquifers: application to the Macrodispersion Experiment (MADE) site
Water Resour. Res.
(2000) - Franceschi, G., 1975 Geological study of the superficial layers in the area of Houtave. MSc Thesis, Ghent University....
- et al.
Groundwater
(1979)
Modification of the theory of leaky aquifers
J. Geophys. Res.
Non-steady radial flow in an infinite leaky aquifer
Trans. Am. Geophys. Union
Cited by (26)
A numerical modelling approach to investigate the fate of brine reject of farm scale desalination plants on groundwater aquifers in arid environments
2024, Science of the Total EnvironmentCharacterization of flow and transport in a fracture network at the EGS Collab field experiment through stochastic modeling of tracer recovery
2021, Journal of HydrologyCitation Excerpt :The successful exploitation of a subsurface reservoir requires a comprehensive understanding of flow and transport characteristics in the reservoir, particularly in the context of unconventional oil/gas extraction (Middleton et al., 2015), geothermal heat recovery (Brown et al., 2012; Fu et al., 2016; McClure and Horne, 2014; U.S. Department of Energy, 2019), CO2 storage (Fu et al., 2017; Sun and Tong, 2017), as well as radioactive and toxic industrial wastes containment (Cuss et al., 2015; Sudicky and Frind, 1984; Sun and Buscheck, 2003; Tang et al., 1981; Tsang et al., 2015). Quantitative characterization of flow and transport processes in subsurface reservoirs is commonly based on flow (or pressure) and tracer tests in conjunction with various geological and geophysical investigations such as core logging, outcrop analysis, and seismic and electrical imaging (Berkowitz, 2002; Goovaerts, 1997; Juliusson and Horne, 2013; Karmakar et al., 2016; Neuman, 2005; Vandenbohede and Lebbe, 2003). The inference of spatially variable hydraulic and transport properties can be achieved by matching the measured flow and tracer data with results from either analytical or numerical models constrained by geophysical investigations (Bullivant and O'sullivan, 1989; Cacas et al., 1990b; Castagna and Bellin, 2009; Hawkins et al., 2017a, 2017b, 2018; Radilla et al., 2012).
An empirical specific storage-depth model for the Earth's crust
2021, Journal of HydrologyA review of specific storage in aquifers
2020, Journal of HydrologyIntegrated assessment of variable density-viscosity groundwater flow for a high temperature mono-well aquifer thermal energy storage (HT-ATES) system in a geothermal reservoir
2015, GeothermicsCitation Excerpt :The associated energy loss can be related to the macro-dispersion coefficient which describes groundwater flow due to local variations in the velocity caused by spatial heterogeneity (Nick et al., 2008). Many laboratory studies and tracer measurements (Anderson, 2005; Vandenbohede and Lebbe, 2003, 2006; Vandenbohede et al., 2008, 2009) have illustrated the convection-conduction equation to provide a satisfactory description of the mixing process in groundwater applications. The Peclet number can be applied to assess the most dominant process.
Seawater intrusion processes, investigation and management: Recent advances and future challenges
2013, Advances in Water ResourcesCitation Excerpt :Downhole measurements can sometimes be used to monitor temporal changes in groundwater salinity, although the presence of a metal casing (which acts as an electrical conductor) can be prohibitive. Vandenbohede and Lebbe [324] used a frequency-domain probe to monitor the passage of a plume during a tracer test. Nienhuis et al. [224] compared different methods for detecting the fresh–salt water interface in existing boreholes and found that fixed electrode pairs installed at fixed depths within the borehole provide the most accurate results.