• Computing Facilities: Conte Super Computer

    Computing Facilities: Conte Super Computer

  • Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; elastic waves (top left: original P wavespeed model; top right: initial P wavespeed model; bottom: reconstruction)

    Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; elastic waves (top left: original P wavespeed model; top right: initial P wavespeed model; bottom: reconstruction)

  • Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; elastic waves (top left: original S wavespeed model; top right: initial S wavespeed model; bottom: reconstruction)

    Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; elastic waves (top left: original S wavespeed model; top right: initial S wavespeed model; bottom: reconstruction)

  • Rock physics experiments, measuring waveforms

    Rock physics experiments, measuring waveforms

  • Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; elastic waves (left: original S wavespeed model; middle: initial S wavespeed model; right: reconstruction)

    Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; elastic waves (left: original S wavespeed model; middle: initial S wavespeed model; right: reconstruction)

  • Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; elastic waves (left: original P wavespeed model; middle: initial P wavespeed model; right: reconstruction)

    Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; elastic waves (left: original P wavespeed model; middle: initial P wavespeed model; right: reconstruction)

  • Curvelet-like and Gaussian wave packets

    Curvelet-like and Gaussian wave packets

  • Massively parallel direct structured solver - Helmholtz equation

    Massively parallel direct structured solver - Helmholtz equation

  • Massively parallel direct structured solver - Time-harmonic qP-polarized waves in a TTI medium

    Massively parallel direct structured solver - Time-harmonic qP-polarized waves in a TTI medium

  • Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; scalar waves(left:original wavespeed model;middle: initial wavespeed model;right,top:original wavespeed model; right, bottom: reconstruction)

    Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; scalar waves(left:original wavespeed model;middle: initial wavespeed model;right,top:original wavespeed model; right, bottom: reconstruction)

  • Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; scalar waves (left: original wavespeed model; right: reconstruction)

    Conditional Lipschitz stability, sparsity, iterative reconstruction via hierarchical compression; scalar waves (left: original wavespeed model; right: reconstruction)

  • Teleseismic RTM-based reflection tomography with multiple scattered waves

    Teleseismic RTM-based reflection tomography with multiple scattered waves

  • Teleseismic RTM-based reflection tomography with multiple scattered waves

    Teleseismic RTM-based reflection tomography with multiple scattered waves

  • Velocity continuation

    Velocity continuation

  • Anisotropic surface-wave inversion - Tibetan plateau

    Anisotropic surface-wave inversion - Tibetan plateau

  • Imaging evolution equations, extended isochron rays, wave packets

    Imaging evolution equations, extended isochron rays, wave packets

  • DG method, modified fluxes, acousto-elastic waves

    DG method, modified fluxes, acousto-elastic waves

  • DG method, modified fluxes, acousto-elastic waves

    DG method, modified fluxes, acousto-elastic waves

Mission

The Geo-Mathematical Imaging Group (GMIG) at Purdue University is a unique, industry and government (NSF, DOE) funded, multidisciplinary and interinstitutional graduate educational and research program in inverse problems and subsurface energy, with the broader purpose of advancing the understanding of our planet's interior and developing fundamentally new technologies, with leading faculty from Mathematics, Computer Science, Physics, and Earth, Atmospheric and Planetary Sciences.

The program's mission is to meet the complex challenges of modern day prospect evaluation and general geological study of Earth's interior by expanding the boundaries of knowledge of seismic imaging and inverse problems and by controlling and reducing computational costs. 

Building on the combined expertise of GMIG's research team, the goals are the development of new geophysical probes, accounting for realistic physics and geology, to map and characterize multiscale structures and variations in rock properties, and connect them to the relevant geological, geodynamical and fluid flow processes. 

GMIG's research broadly focuses on

News and Events

  • 08/22/2012Laura Pyrak-Nolte recognized by Society of Exploration GeophysicistsRead more.
  • 08/01/2012Post-Doc Position openingRead more.
  • 08/01/2012PhD student openingRead more.
  • 07/11/2012Maarten de Hoop travelled to Iceland and NorwayRead more.
  • 05/10/2011Science paper on transition zone structureRead more.
  • 05/10/2011GMIG NewsRead more.
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Latest Publications

Particle swarms in smooth-walled fractures , E.R. Boomsma and L.J. Pyrak-Nolte,  2014 View

Interface waves along fractures in anisotropic media , S. Shao and L.J. Pyrak-Nolte,  2013 View

Coupled wedge waves , B.C. Abell and L.J. Pyrak-Nolte,  2013 View

GMIG Home

Maarten V. de Hoop

Personal Website
Department of Mathematics
Department of Earth, Atmospheric, and Planetary Sciences
Purdue University
West Lafayette, Indiana 47907, USA
Phone: 765-496-6439
email: mdehoop@purdue.edu