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Creating subsurface flow models from electrical resistivity tomography for aquifer recharge and recovery

The  Problem

Aquifer recharge and recovery (ARR) is the process of enhancing natural groundwater resources and recovering water for later use by constructing engineered conveyances. Insufficient understanding of lithological heterogeneity at ARR sites often hinders attempts to predict where and how quickly infiltrating water will flow in the subsurface, which can adversely affect the quality and quantity of available water for future use in the ARR site.

Our Approach

We explore the use of electrical resistivity tomography (ERT) to aid in characterizing subsurface lithology at an ARR site near Aurora, CO. Some guiding principles exist for inferring lithology information from resistivity data when field borehole measurements and geophysical measurements are collocated. In our case of non-collocated geophysical and borehole data, we explore different methods of creating a resistivity-lithology transform.
The differences in this transform affect the posterior lithology distributions in multiple point geostatistical (MPS) simulations, and in turn, predictions of flow from models based on these distributions. To test the reliability of these models, we can compare measured breakthrough times of recharged water at the site to groundwater flow simulation results using the lithofacies models created by each method.



Project Lead/Contact: 

Project Publications and Presentations

  • Integrating Non-Colocated Well and Geophysical Data to Capture Subsurface Heterogeneity at an Aquifer Recharge and Recovery Site (in revision), Journal of Hydrology (2017)
  • Building Flow and Transport Models with Electrical Resistivity Tomography Data, (2017)
  • ntegrating non-collocated well and geophysical data to capture lithological heterogeneity at a managed aquifer recharge and recovery site, (2017)