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Aquifer Characterization and Uncertainty in Multi-Frequency Oscillatory Flow Tests: Approach and Insights.
Jeremy R Patterson, Michael Cardiff1
1Department of Geoscience, University of Wisconsin-Madison, 1215 W. Dayton St., Madison, WI, 53706, USA.
Ground Water
|September 8, 2021
Summary
Multi-frequency oscillatory flow tests improve aquifer characterization by reducing uncertainty in flow properties. This method enhances inversion performance and parameter accuracy, offering a more reliable approach to hydrogeologic analysis.
Area of Science:
- Hydrogeology
- Geophysics
- Environmental Science
Background:
- Accurate characterization of aquifer properties is crucial for effective groundwater management.
- Oscillatory flow interference testing has emerged as a promising technique for assessing aquifer hydraulic properties.
- Existing methods often rely on single-frequency analysis, potentially limiting the information extracted.
Purpose of the Study:
- To develop and present a generalized workflow for analyzing multi-frequency oscillatory flow interference test data.
- To quantify aquifer flow properties and their associated uncertainty using extracted Fourier coefficients.
- To investigate the impact of multi-frequency analysis on inversion performance and parameter uncertainty.
Main Methods:
- Utilizing synthetic analytical modeling to simulate multi-frequency oscillatory flow interference tests.
- Extracting Fourier coefficients from observation signals at single and multiple frequencies.
- Relating Fourier coefficients to aquifer diffusivity and transmissivity.
- Evaluating the influence of signal length, sampling frequency, and sensor accuracy on parameter uncertainty.
Main Results:
- Multi-frequency oscillatory flow testing provides additional information that enhances inversion performance.
- The use of multiple frequencies significantly decreases uncertainty in estimated aquifer parameters.
- Increased observation signal length, sampling frequency, and pressure sensor accuracy all contribute to reduced parameter uncertainty.
Conclusions:
- Multi-frequency oscillatory flow interference testing offers a more robust method for characterizing aquifer properties compared to single-frequency approaches.
- This study demonstrates a novel workflow for quantifying aquifer parameters and their uncertainty using multi-frequency data.
- The findings highlight the importance of data quality and signal characteristics in improving hydrogeologic model accuracy.
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