3D inversion of large-scale frequency-domain airborne electromagnetic data using unstructured local mesh

Author:

Zhang Bo1ORCID,Yin Changchun1ORCID,Liu Yunhe1,Ren Xiuyan1,Baranwal Vikas C.2ORCID,Xiong Bin3

Affiliation:

1. Jilin University, College of Geo-Exploration Science and Technology, Changchun 130021, China.(corresponding author); .

2. Geological Survey of Norway, Trondheim N-7024, Norway..

3. Guilin University of Technology, College of Earth Sciences, Guilin 541006, China..

Abstract

Airborne electromagnetic (AEM) methods have been more and more widely used in mineral exploration, environmental and engineering studies, and ground water investigation. However, compared with ground-based electromagnetic (EM) methods, such as magnetotelluric or controlled-source EM, AEM methods generally produce large amounts of data, which leads to very costly 3D EM inversions. We have developed a new 3D AEM inversion scheme based on the finite-element method and unstructured tetrahedral local meshes. This is different from the traditional local mesh method in that the traditional method uses regular cuboids for 3D AEM inversions, whereas our scheme uses irregular tetrahedral meshes that can easily accommodate the topography and complex underground structure. Moreover, because we create our local mesh by extracting from part of the global model mesh, the relationship between the local and global meshes is straightforward, so we can easily create a projection of the Jacobian matrix between global and local meshes and rapidly construct the global Jacobian matrix for 3D EM inversions. After formulating the boundary value problem based on the finite-element method, we verify the accuracy of our modeling algorithm by checking against the semianalytical solution for a homogeneous half-space model, and we test our inversion algorithm by running inversions on synthetic and survey data collected over Vesterålen, Norway. The numerical experiments demonstrate that our method can model the AEM responses at high accuracy and recover the subsurface main resistivity structures from synthetic and field data.

Funder

National Natural Science Foundation of China

Key National Research Project of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

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