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Hydrogeologic unit flow characterization using transition probability geostatistics.

Norman L Jones1, Justin R Walker, Steven F Carle

  • 1Environmental Modeling Research Laboratory, 242 Clyde Building, Brigham Young University, Provo, UT 84602, USA. njones@et.byu.edu

Ground Water
|April 12, 2005
PubMed
Summary
This summary is machine-generated.

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This study introduces a new geostatistics method for groundwater modeling. It enhances geological simulations in MODFLOW by better representing complex subsurface heterogeneity.

Area of Science:

  • Hydrogeology
  • Geostatistics
  • Numerical Modeling

Background:

  • Traditional indicator kriging methods have limitations in capturing complex geological relationships.
  • Stochastic simulation in hydrogeology often requires methods that can handle intricate subsurface heterogeneity.
  • MODFLOW is a widely used software for groundwater modeling.

Purpose of the Study:

  • To describe a technique for applying transition probability geostatistics to MODFLOW simulations.
  • To leverage the advantages of transition probability geostatistics over indicator kriging for geological modeling.
  • To enable the simulation of complex heterogeneity in hydrogeologic units within MODFLOW.

Main Methods:

  • Applying transition probability geostatistics for stochastic simulation.

Related Experiment Videos

  • Generating indicator arrays using transition probability simulation.
  • Converting indicator arrays to layer elevation and thickness arrays.
  • Utilizing the Hydrogeologic Unit Flow package in MODFLOW 2000.

    • Main Results:

    • Transition probability geostatistics provides a simpler framework for interpreting geologic relationships.
    • The method can simulate juxtapositional tendencies like fining upward sequences.
    • Complex heterogeneity can be preserved using reasonably sized or non-uniform grids in MODFLOW.
    • Successful integration of transition probability simulation outputs with MODFLOW 2000.

    Conclusions:

    • Transition probability geostatistics offers an improved approach for stochastic simulation in hydrogeologic modeling.
    • This technique enhances the ability of MODFLOW to represent complex subsurface heterogeneity.
    • The method facilitates more realistic geological simulations for groundwater flow modeling.