Tomographic Inversion of Crosshole Radar Data: Confidence in Results

Abstract

Crosshole radar tomography is increasingly being used to characterize the shallow subsurface and to monitor hydrologic processes. Although tomographic inversion provides a subsurface model, confidently interpreting the resulting image can be challenging. We conducted a simple modeling study to better understand the capabilities and limitations of tomographic inversion. We start with a known earth model, simulate a tomography experiment, and invert the synthetic data. We investigate the effects of straight and curved ray approximations to wave propagation, regularization, grid size, and starting model. We also investigate the effects of limited ray coverage through the earth model and noise in the data. Understanding the effects of these different methods and parameterizations will help us place confidence limits on modeled features to more accurately reflect our knowledge of the subsurface.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA396112

Entities

People

  • Michael D. Knoll
  • William P. Clement

Organizations

  • Boise State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Boundaries
  • Computational Science
  • Data Analysis
  • Data Sets
  • Differential Equations
  • Earth Models
  • Equations
  • Geophysics
  • Groundwater
  • Inverse Problems
  • Kernel Functions
  • Models
  • Simulators
  • Statistics
  • Travel Time

Readers

  • Computational Modeling and Simulation
  • Geotechnical Engineering.
  • Wave Propagation and Nonlinear Chaotic Dynamics.