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09:04
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
Published on: June 1, 2022
A forward modeling approach for interpreting impeller flow logs.
Alison H Parker1, L Jared West, Noelle E Odling
1Centre for Water Science, Building 39, Cranfield University, Cranfield, MK43 0AL, UK. a.parker@cranfield.ac.uk
Ground Water
|August 5, 2009
Summary
This study presents a new method for interpreting noisy impeller flow log data to accurately determine hydraulic conductivity variations in aquifers. The approach uses physical models and statistical selection to improve understanding of groundwater flow.
Area of Science:
- Hydrogeology
- Geophysics
Background:
- Impeller flow logging measures vertical flow speed in wells to infer groundwater inflows.
- Noisy flow log data can lead to inaccurate hydraulic conductivity estimations with simplistic interpretation methods.
Purpose of the Study:
- To develop and apply a rigorous, practical approach for interpreting impeller flow log data.
- To accurately determine vertical variations in hydraulic conductivity in Chalk aquifers.
Main Methods:
- A new interpretation method is presented, involving defining physical models for hydraulic conductivity.
- Models are fitted to noisy well log data using regression techniques.
- A maximum likelihood approach, balancing model complexity and fit (e.g., Akaike's Information Criterion), selects the best model.
Main Results:
- The presented method provides a more reliable interpretation of impeller flow log data.
- Accurate determination of vertical hydraulic conductivity variations is achieved.
- Application to Chalk aquifer well logs in England demonstrates the method's efficacy.
Conclusions:
- The developed method offers a significant improvement over simplistic approaches for impeller flow log interpretation.
- This approach enhances the understanding of groundwater flow dynamics and aquifer properties.
- The technique is valuable for hydrogeological assessments in similar geological settings.
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