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Hydraulic Tomography

Hydraulic tomography is a groundbreaking approach for groundwater aquifer characterization. It involves collecting responses due to a sequence of cross-hole aquifer tests and using the responses to inversely estimate hydraulic property fields.

Michael Tso

on 14 January 2013

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Transcript of Hydraulic Tomography

CAT-scan vs. HT Layering & Positioning Create Shapes Tomography In this example, the lady holds a banana on her left hand and a pineapple on her right hand. By combining the two silhouettes, we can sufficiently what she is holding on her hands. Tomography is first applied in the medial field. Here are CAT-scan cross-sections of a human brain. Traditional Aquifer Characterization Hydraulic Tomography (HT) Congratulation! Hydraulic Tomography (HT): An Example Advantages Limitations Mizunami Site Example Practical Benefits Variations of HT: Now you know what Hydraulic Tomography is! Spatial Variability Natural geological media is highly heterogeneous
others Capturing variability and uncertainty of aquifers Hydraulic Tomography Michael Tso (Prof. Jim Yeh's Research Group) Template by Tai Tran. Prezi by Michael Tso. January 2013 Uncertainties Tomography can be visualized as taking photos of an object at various locations.
We can reconstruct the 3D structure of an object by jointly interpreting the images. Geostatistics
Core Measurements
Pumping and injection tests
Steady state dipole flow
Slug test
Geophysical methods

Review by Illman (2011) Although hydraulic properties are in theory deterministic,
there are still uncertainties because of...
human/equipment/model errors
scale issues (discrepancy between measurement and application scales) Sensitivity of measurements is generally lower further away from the observation point.
Hydraulic Tomography (HT) jointly interprets observation from multiple pumping test over the entire domain so the estimated field has rather high sensitivity throughout.
By doing so, the error and/or uncertainty can also be minimized because observations at different point cross-validate each other.
HT allows better estimates as more data at observation point is provided, given the additional information is non-redundant. The warning signs denote observation points The warning signs denote observation points The warning signs denote observation points The warning signs denote observation points The warning signs denote observation points Data Fusion for Basin-scale Problems HT allows delineation of the subsurface heterogeneity with higher accuracy, higher resolution and less uncertainty, which improves almost all numerical groundwater models, and thus improves reliability of :
water resources management
aquifer remediation
geological storage of CO2 or nuclear waste
other engineering applications

Stochastic HT field can be lumped into an adaptive reliability-based decision framework

HT allows data fusion of hydraulic measurements with other indirect tomographyic methods used in subsurface hydrology, such as:
Tracer Tomography (conservative and/or partitioning)
Electric Resistivity Tomography (ERT) Utilizing natural stimuli to replace pumping/injection: River stage
Cloud-to-ground lightning
Earthquake (seismic and hydraulic)
Earth tide
Barometric pressure
others For more details, please visit: http://onlinelibrary.wiley.com/doi/10.1029/2007WR006375/full State-of-the-art fault detection technology For more details, please visit: http://onlinelibrary.wiley.com/doi/10.1029/2007WR006715/full http://onlinelibrary.wiley.com/doi/10.1029/2009WR007745/abstract Explore more at our group's page: Email us for questions/ collaboration: http://tian.hwr.arizona.edu/ yeh@hwr.arizona.edu http://tian.hwr.arizona.edu/data/pub/c891af81bc3fc2bb11c2acf96d63c54e.pdf Full article: http://tinyurl.com/michaeltso The estimated field is not necessarily the true one. HT is an effort to consider hydraulic property fields in a stochastic framework and estimate a spatially-varying field that best match all of the available observations.
Poor data collection strategy will significantly affect HT estimates
It is difficult to compare with classic groundwater solutions (such as Thiem or Theis Solution) because they work under different assumptions. Their estimates are deterministic and assumed to be uniform over each of geologic unit. {Copyrighted and subject to revision} Using " 1 " realization only for inversion Using " 2 " realizations for inversion Using " 3 " realizations for inversion Using " 4 " realizations for inversion Using " 5 " realizations for inversion
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