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Related Experiment Videos

An analytic data analysis method for oscillatory slug tests.

Chia-Shyun Chen1

  • 1Applied Geology Institute, National Central University, Jun-Li, Taiwan, Republic of China. chenchia@cc.ncu.edu.tw

Ground Water
|July 22, 2006
PubMed
Summary

A new analytical method accurately determines hydraulic conductivity from slug test data in high-conductivity aquifers. This approach analyzes oscillatory data extremes, offering reliable estimates for partially penetrating wells.

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Analysis of depth-dependent pressure head of slug tests in highly permeable aquifers.

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Area of Science:

  • Hydrogeology
  • Geotechnical Engineering

Background:

  • Slug tests are crucial for assessing aquifer hydraulic properties.
  • Partially penetrating wells in high hydraulic conductivity aquifers present unique analytical challenges.
  • Existing methods may require complex data fitting or assumptions.

Purpose of the Study:

  • To develop and validate an analytical data analysis method for slug tests.
  • To accurately determine hydraulic conductivity in partially penetrating wells within confined or unconfined aquifers of high hydraulic conductivity.
  • To provide a robust alternative to existing curve-matching techniques.

Main Methods:

  • The study adapts the van der Kamp method for slug test analysis.
  • It utilizes the timing and displacement of extreme points in oscillatory data.

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  • The method compares measured data with theoretical counterparts.

    • Main Results:

    • The analytical method was applied to two distinct slug test datasets (slow and rapid damping).
    • The method successfully identified and utilized discernible extremities in the oscillatory data.
    • Estimates of hydraulic conductivity showed good agreement with a curve-matching technique.

    Conclusions:

    • The developed analytical method is effective for slug tests in high hydraulic conductivity aquifers.
    • It provides reliable hydraulic conductivity estimates for partially penetrating wells.
    • This method offers a viable alternative for analyzing slug test data, particularly when oscillations are present.