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Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
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Practical issues in imaging hydraulic conductivity through hydraulic tomography.

Walter A Illman1, Andrew J Craig, Xiaoyi Liu

  • 1IIHR-Hydroscience & Engineering, The University of Iowa, Iowa City, IA 52242, USA. walter.illman@uowa.edu

Ground Water
|January 10, 2008
PubMed
Summary

Hydraulic tomography creates subsurface images (K tomograms) by analyzing pumping test data. Test design, data quality, and processing order significantly impact the accuracy of these heterogeneity pattern delineations.

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Area of Science:

  • Geosciences
  • Hydrogeology
  • Geophysical Methods

Background:

  • Hydraulic tomography offers an alternative to geostatistical methods for mapping subsurface heterogeneity.
  • It involves collecting hydraulic head data from cross-hole tests for inverse modeling.
  • Parameters like hydraulic conductivity (K) and specific storage (S(s)) are interpreted.

Purpose of the Study:

  • To investigate the influence of signal-to-noise ratio and biases on K tomogram quality.
  • To evaluate the impact of pumping test design and data processing on tomogram accuracy.
  • To assess the role of conditioning data in improving K tomogram results.

Main Methods:

  • Utilized the Sequential Successive Linear Estimator (SSLE) algorithm.
  • Interpreted synthetic pumping test data from numerical simulations.
  • Analyzed real cross-hole pumping test data from a laboratory sandbox aquifer.

Main Results:

  • Pumping rate and data inclusion order in SSLE significantly affect K tomogram quality.
  • Conditioning can improve K tomograms but may impair them with poor-quality or mismatched support volume data.
  • K tomogram quality is sensitive to pumping test design, execution, data processing, and conditioning data characteristics.

Conclusions:

  • The accuracy of K tomograms derived from hydraulic tomography is contingent upon multiple factors.
  • Careful consideration of pumping test design, data quality, and conditioning is crucial for reliable subsurface characterization.
  • Optimizing these elements enhances the utility of hydraulic tomography for understanding groundwater systems.