Leading edge research completed by our geophysics team

Oldenburg, D. W., E. Haber, and R. Shekhtman, 2013, Three dimensional inversion of multisource time domain electromagnetic data: Geophysics78, no. 1, E47-E57.

McMillan, M., and D. W. Oldenburg, 2012, Three-dimensional electromagnetic and electrical inversions over the Antonio gold deposit in Peru. SEG Technical Program Expanded Abstracts 2012.

Yu, W., and E. Haber, 2012, A 2.5D Inversion of Airborne Electromagnetic data: SEG Technical Program Expanded Abstracts 2012.

Marchant, D., E. Haber, and D. W. Oldenburg, 2012, Inductive source induced polarization: SEG Technical Program Expanded Abstracts 2012.

Haber, E., E. Holtham, J. Granek, D. Marchant, D. W. Oldenburg, C. Schwarzbach, and R. Shekhtman, 2012, An adaptive mesh method for electromagnetic inverse problems: SEG Technical Program Expanded Abstracts 2012.

Marchant, D., E. Haber, L. Beran, and D. W. Oldenburg, 2012, 3D modeling of IP effects on electromagnetic data in the time domain: SEG Technical Program Expanded Abstracts 2012.

Holtham E., and D. W. Oldenburg, 2012, Large-scale inversion of ZTEM data: Geophysics77, no. 4, WB37-WB45.

Holtham, E., and D. W. Oldenburg, 2010, Three-dimensional inversion of ZTEM data: Geophysical Journal International, 182, no. 1, 168-182.

Haber, E., D. W. Oldenburg, and R. Shekhtman, 2007, Inversion of time domain three-dimensional electromagnetic data: Geophysical Journal International 171, 550-564.

Haber, E., D. W. Oldenburg, and R. Shekhtman, Inversion of time domain 3D electromagnetic data: Geophysics Journal International, 171, no. 2, 550-564.

Chen, J., D. W. Oldenburg, and E. Haber, 2005, Reciprocity in Electromagnetics: Applications to marine magnetometric resistivity: Physics of Earth and Planetary Interiors, 150, 45 - 61.

Oldenburg, D. W., R. Eso, S. Napier, and E. Haber, 2005, Controlled Source electromagnetic inversion for resource exploration: First Break, 23, July 2005, 41-48.

Haber, E., U. Ascher, D. W. Oldenburg, 2004, Inversion of 3D electromagnetic data in frequency and time using an inexact all-at-once approach: Geophysics, 69, 1216-1228

Chen, J., E. Haber, and D. W. Oldenburg, 2002, Three-dimensional numerical modelling and inversion of magnetometric resistivity data: Geophysics Journal International, 149, 679-697.

Haber, E., and U. Ascher, 2002, Fast finite volume simulation of 3D electromagnetic problems with highly discontinuous coefficients: SIAM Journal of Scientific Compututing, 22, 1943-1961.

Aruliah, D., U. Ascher, E. Haber, and D. W. Oldenburg, 2001, A method for the forward modelling of 3D electromagnetic quasi-static problems: Math Modelling Applied Sciences, 11, no. 1, 1-21.

Haber, E., and U. Ascher, 2001, Preconditioned all-at-once methods for large, sparse parameter estimation problems: Inverse Problems, 17, 1847-1864.

Haber, E., and U. Ascher, 2001, Grid refinement and scaling for distributed parameter estimation problems: Inverse Problems 17, 571-590

Haber, E., and D. W. Oldenburg, 2000, A GCV based method for nonlinear ill-posed problems: Computational Geosciences, 4, 41-63.

Haber, E., U. Ascher, D. Aruliah and D. W. Oldenburg, 2000, Fast simulation of 3D electromagnetic problems using potentials: Journal of Computational Physics, 163, 150-171.

Haber, E., U. Ascher, and D. W. Oldenburg, 2000, On optimization techniques for Solving Nonlinear Inverse Problems: Inverse Problems16, 1263 - 1280.

Haber, E., 2000, A mixed finite element method for the solution of the magnetostatic problem with highly discontinuous coefficients in 3D: Computational Geosciences4, no. 4, 323-336.

Haber E., and D. W. Oldenburg, 1997, Joint inversion: a structural approach: Inverse Problems, 13, 63-77

Haber E., D. W. Oldenburg, T. Farncombe, and A. Celler, 1997, Direct estimation of dynamic parameters in SPECT Tomography: IEEE Transactions on Nuclear Science, 44, no. 6, 2425-2430.


Adaptive Finite Volume Methods for Inversion Problems

Adaptive Finite Volume Methods for Inversion Problems

 3D Inversion of Airborne EM: Applications to VTEM and ZTEM

Inversion of Electromagnetic Data

 Enhanced Oil Recovery using Coupled Electromagnetics and Flow Modeling