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A Cost Effective and Adaptable Scratch Migration Assay
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Published on: June 30, 2020

Applying parameter-estimation methods to recovery-test and slug-test analyses.

Andrew C Mills1

  • 1MACTEC Engineering and Consulting, Inc., 1787 Sentry Parkway West, Suite 120, Blue Bell, PA 19422, USA. acmills@mactec.com

Ground Water
|November 26, 2009
PubMed
Summary
This summary is machine-generated.

Accurate transmissivity (T) estimates were obtained using new Fortran programs applying an exhaustive-search method to well test data. This approach proved efficient and reliable, closely matching results from established methods like PEST and type-curve matching.

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Area of Science:

  • Hydrogeology
  • Geophysics
  • Water Resource Management

Background:

  • Accurate estimation of aquifer properties like transmissivity (T) is crucial for effective groundwater management.
  • Traditional methods for analyzing well test data, such as type-curve matching, can be time-consuming and subjective.
  • Parameter estimation software like PEST offers an alternative but may require specialized expertise.

Purpose of the Study:

  • To develop and evaluate new, efficient Fortran programs for estimating transmissivity from recovery and slug test data.
  • To compare the accuracy and efficiency of an exhaustive-search method against established techniques (PEST, type-curve matching).
  • To provide practical tools for hydrogeologists requiring precise transmissivity values.

Main Methods:

  • Application of an exhaustive-search parameter-estimation method to recovery-test and slug-test data.
  • Development of two new Fortran programs utilizing Picking's method and the Cooper, Bredehoeft, and Papadopulos equation.
  • Minimization of the sums of residuals between field-measured and calculated water-level values.

Main Results:

  • Exhaustive-search methods yielded transmissivity estimates closely matching literature values obtained via type-curve matching.
  • Estimates from the new Fortran programs and the PEST software showed good agreement for field data.
  • The developed Fortran programs demonstrated practical utility and efficiency compared to existing methods.

Conclusions:

  • The new Fortran programs provide accurate and efficient transmissivity estimation for hydrogeologists.
  • The exhaustive-search method is a reliable alternative to type-curve matching and PEST for analyzing well test data.
  • These tools enhance the practical application of hydrogeological data analysis.