Hydraulic Properties in Fractured Hard Rock Aquifers
DOUBLE POROSITY MODEL USING WARREN AND ROOT METHOD
Due to the fact that blocks separated by fractures compose hard rock aquifers, one method allowing describing such behaviour is proposed. This method derives from the conceptual double porosity model developed by Barenblatt et al. (1960). The concept (Fig. 4) supposes a confined aquifer constituted by two media: the fractures, transmissive but poorly capacitive, and the matrix, capacitive but poorly transmissive. Each medium is characterised by its hydraulic properties. Kf and Sf are the permeability and the storage coefficient of the fracture medium respectively and Km and Sm are the permeability and the storage coefficient of the matrix respectively. The flow, radial to the pumping well, is only controlled by the transmissivity of fractures (flow from matrix to pumping well is nil, Kf >> Km) and the fractures network drains the matrix where the flow is stationary (spatial variation of the hydraulic head is neglected). The expression of the drawndown is:
s (r, t) = 4 f Q T S F(u*, O, Z); u* = 2 ( ) f f m T t S ES r O = Dr2 m f K K and Z = f f m S S ES
where O is interporosity flow coefficient (dimensionless), D = 4n(n + 2)/l2 shape factor, parameter characteristic of the geometry of the fractures and aquifer matrix where n (dimensionless) is the number of fracture sets (n = 1, 2, 3; see Fig. 4), l the width of matrix blocs (in metre), E, a factor, for early time analysis equal to zero and for late time analysis equal to 1/3 (orthogonal system, n = 2, 3) or 1 (n = 1), r a radial distance from the pumping well, Tf the fractures transmissivity (Tf = H Kf; H: aquifer thickness),
Q the pumping rate and t the time.
This method is well illustrated at pumping well IFP-16. The logarithmic derivatives of drawdowns in IFP-16 have the typical shape of a double porosity aquifer (Fig. 5a): (i) well effects and flow trough fractures to pumping well, (ii) transitional period: the “U” illustrates the contribution of the matrix flow through fractures to the pumping (note that in most cases the “U” of
Pumping Tests and Methods for Evaluation of Hydraulic Properties 107
Figure 5. Interpretation at pumping well IFP-16 using a double porosity model. (a) logarithmic derivative at IFP-16 and (b) adjustment of drawdown using Warren
and Root (double porosity) and Theis method. 0.1 1 10 0.1 1 10 100 1000 10000 Tim e [m in] D ra w dow n a t pum pi ng w e ll [ m ] Derivative w ell effects + flow in fractures
flow in fractures+matrix transitional period 1 2 3 4 0.1 1 10 100 1000 10000 Tim e [m in] D ra w do w n a t pum p ing w e ll [ m ] measurement Theis Warren & Root w ell effects + flow in fractures
flow in fractures+matrix transitional period
Theis
Warren and Root
Figure 4. Double porosity model. (a): naturally fractured rock formation, (b) and (c) Warren and Root idealised fractured system; (b) orthogonal fractures network (n = 3) and (c) horizontal fractures network (n = 1).
108 J.C. Maréchal et al.
derivatives is often masked by well effects) and (iii) flow in fractures and matrix. The application of Warren and Root method is then justified for this data set (Fig. 5b). For the interpretation, according to flowmeter measurements and geological observations, n = 3 and l = 1 m were used. The hydraulic conductivity of fracture network Kf = 5.3 × 10–5 m/s and that one of matrix
Km = 7.76 × 10–8 m/s. On Fig. 5b is also presented the interpretation using Theis method, which cannot properly interpret the drawdown after 470 min of pumping. This shows the limit of such models for hydraulic tests in hard rock terrain, and consequently the necessity to use more sophisticated models. CONNECTIVITY AND FRACTIONAL DIMENSION FLOW USING BARKER THEORY
In fractured aquifer, flow properties are controlled by the fractures distribution. Barker model (9) takes account of the dimension of the flow, which results from the distribution and connectivity of the conductive fractures (Fig. 6). This theory is a generalisation of the Theis theory considering a radial flow,
n-dimensional, into a homogeneous, confined and isotropic fractured medium
characterised by a hydraulic conductivity Kf and specific storage Ssf. This Generalised Flow Model introduces the fractional dimension of flow, n, which characterises the variation law of flow section according to distance
Pumping Tests and Methods for Evaluation of Hydraulic Properties 109
from the pumping well. Values of n vary from 0 to 3, when n = 3 the flow is spherical (Fig. 6), cylindrical when n = 2 (that corresponds to Theis model) and linear when n = 1. Parameter n can take any values, entire or not, revealing the complex geometry of the flow. Expression of transient drawdown in the aquifer (s(r,t)) is given as following:
s(r, t) = 2 n n 3 n 2 f 1, 2 4 Q r n u K b È Ø * É Ù Ê Ú S , u = 2 sf f 4 S r K t where *(a, x) = t a 1 x e t dt
Ô
is the incomplete gamma function, r the radial distance from the pumping well, Q the pumping rate and t the time.This method has been applied to pumping well IFP-9 (Fig. 7). The generalised transmissivity Kfb3-n is evaluated: 1.66 × 10-4 m1.5/s. The flow dimension is equal to 2.5, and thus corresponds to an intermediate flow between cylindrical (like Theis) and spherical. The flow seems to be generated by one sub-horizontal fractures network, or only one single horizontal fracture
2.60 2.65 2.70 2.75 2.80 2.85 2.90 2.95 3.00 10 100 1000 Time (min)
Drawdown at pumping well (m)
Observations Barker
Figure 7. Adjustment of drawdown at pumping well IFP-9 using Barker theory.
as suggested by flowmeter tests, connected to a second fracture network probably sub-vertical to vertical.
CONCLUSIONS
Aquifer tests in hard rock terrain (granite, gneiss, basalt) make inadequate the use of classical techniques such as Theis or Jacob methods and need specific methods allowing taking into account the complexity of groundwater flow. The methods adopted in the present paper consider the heterogeneity and the anisotropy of the media: anisotropy of permeability (Neuman, 1975),
110 J.C. Maréchal et al.
single horizontal fracture intersecting the pumping well (Gringarten and Witherspoon, 1972), double porosity behaviour (Warren and Root, 1963) or connectivity and fractional dimension flow (Barker, 1988). These methods are successfully applied to case studies in Archean granites and allow to characterise the complexity of flows through fractures. These techniques should be widely used by scientists and engineers for fractured aquifer characterisation (structure, anisotropy, heterogeneity) and evaluation (permeability, storage, water supply).
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J.C. Maréchal, Faisal K. Zaidi
1and B. Dewandel
Hard Rock Aquifer Unit, BRGM, Montpellier, France 1
National Geophysical Research Institute, Hyderabad, India
INTRODUCTION
Slug test is based on the principle of the analysis of the rate of water level fluctuation in a well after a certain volume of water (slug) has been suddenly added or removed from the well. However one limitation of conducting slug tests in this manner is that if the tests are being conducted for environmental monitoring purposes it is not advisable to inject or take out a certain volume of water in the well as it may disturb the ambient water quality or it may produce hazardous wastes. To overcome this problem, it is common to insert an iron cylinder of a known volume in the well. The length of the cylinder may vary from 1 to 1.5 metres with a cord tied to one end which facilitates the cylinder to be lowered quickly below the water level and later to be quickly raised above the water level. This instantaneous lowering and raising of the slug in the bore-well causes a cone of depression or suppression which can be related to a pumping or injection tests. The corresponding changes in water levels are recorded in the bore-well with the help of a water level recorder. With this record of the rate of recovery or recession of the water level, the transmissivity or the hydraulic conductivity of the borehole can be measured (Kruseman and de Ridder, 1994). Generally slug tests can yield good results of hydraulic conductivity for formations which have low permeability. For highly permeable formations, such as alluvial aquifers, slug tests cannot be very successful as the disturbance in water level created by the slug dissipates very fast in the formation and it is difficult to measure the corresponding water level changes. Of course the development of automatic water level recorders with the capability of taking regular