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Slug Tests Under- versus Overestimation of Aquifer

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1 Slug Tests Under- versus Overestimation of Aquifer
Hydraulic Conductivity from Slug Tests Hongbing Sun Rider University, Lawrenceville, NJ Manfred Koch University of Kassel, Germany Initial condition t = 0 t = t1 t = t2 Slug Tests

2 Content 1. Introduction 2. Theory of slug tests
CBP-solution / Hvorslev-solution /Bouwer-Rice solution 3. Simulation of slug tests with MODFLOW Set-up of FD-grid / Simulated drawdown curves 4. Effects of slug size and duration on estimated K 5. Over- and underestimation of K based on simulated data CBP-solution / Hvorslev- and Bouwer-Rice solution/ Effects of gravel pack 6. Comparison of field slug- and pumping test estimations 7. Conclusions

3 2. Slug test flow equation πœ• 2 β„Ž πœ• π‘Ÿ 2 + 1 π‘Ÿ πœ•β„Ž πœ•π‘Ÿ = 𝑆 𝑠 πœ•β„Ž πΎπœ•π‘‘
πœ• 2 β„Ž πœ• π‘Ÿ π‘Ÿ πœ•β„Ž πœ•π‘Ÿ = 𝑆 𝑠 πœ•β„Ž πΎπœ•π‘‘ (unconfined or confined) rc Ho H(t) rw Gravel/Sand Pack b h(r,t) 2πœ‹ π‘Ÿ 𝑀 𝐾 πœ•β„Ž( π‘Ÿ 𝑀 ,𝑑) πœ•π‘Ÿ = πœ‹ π‘Ÿ 𝑐 2 𝑏 𝑑𝐻(𝑑) 𝑑𝑑 Z=0 r rw = radius of well casing rc = radius of well screen L= length of well screen d l rb Z=-b

4 2.1 Cooper – Bredehoeft – Papadopulos (CBP) method
Fully penetrating confined aquifer Match data to type curves Read off t1 match point for Tt/rc2 = 1 Plot H/H0 (arithmetic) verses log(time) T = rc2 t1 S = (rc2u)/rw2

5 Inherent overestimation of K
2.2 Hvorslev method πœ• 2 β„Ž πœ• π‘Ÿ π‘Ÿ πœ•β„Ž πœ•π‘Ÿ = 𝑆 𝑠 πœ•β„Ž πΎπœ•π‘‘ rc2ln(L/rw) 2Lt0 K = K = hydraulic conductivity rc = radius of well casing rw = radius of well screen L= length of well screen t0= time when water level is 0.37 of initial one Inherent overestimation of K

6 2.3 Bouwer and Rice (BR) method πœ• 2 β„Ž πœ• π‘Ÿ 2 + 1 π‘Ÿ πœ•β„Ž πœ•π‘Ÿ = 𝑆 𝑠 πœ•β„Ž πΎπœ•π‘‘
πœ• 2 β„Ž πœ• π‘Ÿ π‘Ÿ πœ•β„Ž πœ•π‘Ÿ = 𝑆 𝑠 πœ•β„Ž πΎπœ•π‘‘ intended for unconfined aquifers rc = radius of the well casing R = radius of gravel pack Re = effective radial distance Le = length of screen H0 = drawdown at time t = 0 Ht = drawdown at time t t = time since test began Tendency for overestimation of K

7 3. Simulation of slug tests with MODFLOW 3.1 Set-up of FD-model
No gravel pack Finite difference grid illustrating the 5-cm radius slug well 10000 cells within the inner 1m 78 cells for the well section 100m

8 3.2 Simulated drawdown curves for confined aquifer
Semi-log plot of H/Ho vs. time of simulated slug tests with K ranging from 0.01 to 100 m/day, Ss is 10-4.

9 4. Effects of slug size and duration on estimated K
H/Ho vs. log(time) with varied slug sizes g (gallons) injected within 2 seconds no effect !!

10 Duration of slug injections affects conductivity estimation
More for unconfined aquifer than for confined aquifer. 4. Effects of slug size and duration on estimated K

11 5. Over- and underestimation of K based on simulated data
5.1 Estimated conductivites from the CBP method Ratios of CPB-estimated K vs. actual K as function of Ss for confined aquifer πœ• 2 β„Ž πœ• π‘Ÿ π‘Ÿ πœ•β„Ž πœ•π‘Ÿ = 𝑆 𝑠 πœ•β„Ž πΎπœ•π‘‘

12 5.2 Estimated conductivites from Hvorslev- and BR-method
Ratios of Hvorslev-K vs. actual K as function of Sy for unconfined aquifer Overestimation of K, due to omission of Sy

13 Low K =1 m/d 5.2 Estimated conductivites from Hvorslev- and BR-method
K varies significantly when different sections of straight line segment is taken.

14 5.2 Estimated conductivites from Hvorslev- and BR-method
High K = 50m/day every second counts

15 5.3 Effects of gravel packs around well screen
Gravel pack K Use late line segment (Bouwer, 1989) Use 0.2 to 0.3 of H/Ho range (Butler, 1996) Traditional textbook explanation of double straight line segments

16 Slug and PUMPING TEST SITES
6. Comparison of slug-test and pumping test data from field tests Slug and PUMPING TEST SITES Fort Worth, TEXas (Houston and Braun, 2004).

17 6. Comparison of slug-test and pumping test data from field tests
Histograms of slug and pumping test K-estimations from Fort Worth, TX Slug test K=10.17 m/d N=154 Pumping test K=71.03 m/d N=40

18 6. Comparison of slug-test and pumping test data from field tests
Which line segment should be used in a high conductivity aquifer? β€œlate line segment? 0.2 to 0.3 range of line segment?” Texas well WHGLTA049 Is this the gravel pack effect?

19 6. Comparison of slug-test and pumping test data from field tests
Which line segment should be used in high conductivity aquifer? 6. Comparison of slug-test and pumping test data from field tests β€œlate line segment? 0.2 to 0.3 range of line segment?” Texas well ST14-W23 Is this the gravel pack effect?

20 7. Conclusions In an unconfined aquifer, theoretically, both the Hvorselv- and the BR- method overestimate the aquifer conductivity, due to their omission of storativity. 2. Practically, Hvorslev- and BR-methods can either over- or underestimate conductivity of an aquifer, when the β€œfirst” straight line segment is used. 3. For low conductivity aquifer, K is overestimated => use late line segment or 0.2 to 0.3 of normalized head of H/Ho vs log (time). Or correct equation. Caution for gravel pack. 4. For high conductivity aquifer K> 5m/day, when using a later straight line segment of H/Ho vs. log(time), K is less overestimated. 5. For K between 1 and 5 ms/day, choice of proper time segment depends on gravel- pack and whether the water level is above or below the screen. 6. Field data slug test estimations appear to provide much smaller K-values than those of pumping tests => better use the β€žearlyβ€œ than the advocated β€žlate-timeβ€œ segment.


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