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A closed form slug test theory for high permeability aquifers
David W Ostendorf1, Don J DeGroot, Philip J Dunaj
1Civil and Environmental Engineering Department, Marston Hall, University of Massachusetts, Amherst, MA 01003, USA. ostendorf@ecs.umass.edu
Ground Water
|February 25, 2005
Summary
This study enhances slug test theory by including casing friction, providing more accurate hydraulic conductivity estimates in high permeability aquifers. The new model accounts for inertia and friction, improving upon previous methods.
Area of Science:
- Hydrogeology
- Aquifer Testing
Background:
- Slug tests are crucial for determining aquifer properties.
- Existing analytical models may not fully account for wellbore effects like casing friction.
- Accurate hydraulic conductivity is vital for groundwater resource management.
Purpose of the Study:
- To develop a modified analytical slug test theory incorporating casing friction.
- To provide closed-form equations for pressure and velocity fluctuations.
- To improve the accuracy of hydraulic conductivity estimations in high permeability aquifers.
Main Methods:
- Incorporated a linear estimate of casing friction into existing slug test theory.
- Developed consistent, closed-form equations for free surface, pressure, and velocity fluctuations.
- Linearized turbulent casing shear stress using a characteristic velocity for analytical solutions.
Main Results:
- The modified theory accurately describes pressure fluctuations, accounting for inertia and casing friction.
- Slug tests in the Plymouth-Carver Aquifer yielded a consistent hydraulic conductivity of 1.5 x 10(-3) m/s.
- The new model provides more accurate hydraulic conductivity than the Springer and Gelhar (1991) model, which underestimated values by up to 25%.
Conclusions:
- The inclusion of casing friction significantly improves slug test analysis for high permeability aquifers.
- The developed analytical solution offers a reliable method for determining hydraulic conductivity from transducer data.
- This approach refines aquifer characterization and supports better groundwater management decisions.