We presented a 2.5D inversion algorithm with topography for frequency-domain airborne electromagnetic data. The forward modeling is based on edge finite element method and uses the irregular hexahedron to adapt the topography. The electric and magnetic fields are split into primary (background) and secondary (scattered) field to eliminate the source singularity. For the multisources of frequency-domain airborne electromagnetic method, we use the large-scale sparse matrix parallel shared memory direct solver PARDISO to solve the linear system of equations efficiently. The inversion algorithm is based on Gauss-Newton method, which has the efficient convergence rate. The Jacobian matrix is calculated by “adjoint forward modelling” efficiently. The synthetic inversion examples indicated that our proposed method is correct and effective. Furthermore, ignoring the topography effect can lead to incorrect results and interpretations.

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edge finite element method topography effect electric and magnetic fields primary background irregular hexahedron 25d inversion algorithm jacobian secondary scattered largescale sparse matrix parallel shared memory direct solver pardiso gaussnewton method linear system of equations multisources of frequencydomain airborne electromagnetic method adjoint forward modelling

Jianjun Xi,Wenben Li,.2.5D Inversion Algorithm of Frequency-Domain Airborne Electromagnetics with Topography. 2016 (),.

Jianjun Xi,Wenben Li,"2.5D Inversion Algorithm of Frequency-Domain Airborne Electromagnetics with Topography" 2016

Jianjun Xi,Wenben Li,"2.5D Inversion Algorithm of Frequency-Domain Airborne Electromagnetics with Topography"