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Analytical solution for subsurface gas flow to a well induced by surface pressure fluctuations
Joseph Rossabi1, Ronald W Falta
1Westinghouse Savannah River Co, Aiken, SC 29808, USA. joseph.rossabi@srs.gov
Ground Water
|January 19, 2002
Summary
This study presents a simple model to predict subsurface gas flow in vadose-zone wells caused by atmospheric pressure changes (barometric pumping), using only atmospheric pressure data for accurate forecasting.
Area of Science:
- Environmental Engineering
- Geotechnical Engineering
- Hydrogeology
Background:
- Subsurface gas flow in vadose-zone wells is influenced by atmospheric pressure fluctuations.
- Barometric pumping is a phenomenon where changes in atmospheric pressure induce gas movement.
- Accurate prediction of this flow is crucial for environmental remediation systems.
Purpose of the Study:
- To develop a simple analytical model for predicting subsurface gas flow to vadose-zone wells.
- To determine the effective radial permeability (kr) near the well through model calibration.
- To enable quantitative prediction of induced well flow using only atmospheric pressure data.
Main Methods:
- An analytical model was developed to simulate gas flow in response to barometric pumping.
- Model calibration involved determining effective radial permeability (kr) using short-term data (< 2 weeks).
- The model combines a subsurface flow solution with a vertical gas pressure solution.
Main Results:
- The model successfully predicts subsurface gas flow induced by atmospheric pressure fluctuations.
- Effective radial permeability (kr) can be determined efficiently during model calibration.
- Only atmospheric pressure data are needed to predict the induced flow.
Conclusions:
- The developed analytical model provides a simple and effective method for predicting barometric pumping effects in vadose-zone wells.
- The ability to quantitatively predict induced flow using inexpensive measurements is valuable for remediation technologies.
- This approach offers a practical tool for managing and optimizing systems that utilize barometric pumping for environmental remediation.