3D Finite-Element Forward Modeling of Airborne EM Systems in Frequency-Domain Using Octree Meshes

被引:0
作者
Han, Xue [1 ]
Yin, Changchun [1 ]
Su, Yang [1 ]
Zhang, Bo [1 ]
Liu, Yunhe [1 ]
Ren, Xiuyan [1 ]
Ni, Jianfu [1 ]
Farquharson, Colin G. [2 ]
机构
[1] College of Geoexploration Science and Technology, Jilin University, Changchun, Jilin,130021, China
[2] Department of Earth Sciences, Memorial University of Newfoundland, St. John's,NL,A1B 3 × 5, Canada
来源
IEEE Transactions on Geoscience and Remote Sensing | 2022年 / 60卷
基金
中国国家自然科学基金;
关键词
3D forward modeling - Airborne electromagnetic - Airborne EM - Finite element analyse - Frequency domains - Model efficiency - Octree mesh - Octrees - Solid modelling - Three-dimensional display;
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摘要
The 3-D airborne electromagnetic (AEM) inversions have been restricted by the modeling efficiency resulting from the complex geology in exploration areas and massive amount of data collected by AEM systems. In order to improve the modeling efficiency, we develop an algorithm that combines the hexahedral vector finite element (FE) with octree meshes, in which the boundary conditions are imposed via an algebraic constraint to ensure the continuity of the FE solution. This makes the division with hexahedral meshes more flexible for complex geology such as rugged topography or underground structures so that we can reduce the number of elements while maintaining the accuracy. After formulating the forward problem, we check the accuracy of our algorithm by taking a homogeneous half-space model and comparing the results of our octree method with the semianalytical solutions. Furthermore, we demonstrate the efficiency of our octree method by comparing with the traditional FE method using tetrahedral meshes. Finally, we subdivide a complex topography constructed using the 2-D Gaussian rough surface and calculate the EM responses with and without anomaly embedded. The results show that the EM responses are overwhelmed by the Earth topography. We carry out the topographic correction by taking a method based on the ratio of EM responses with and without anomaly. The experiments show that after topographic correction to AEM data, the response of anomaly becomes more distinguishable so that the anomaly can be clearly identified. Furthermore, we also calculate the EM response for a realistic model - the Ovoid Zone ore body located at Voisey's Bay, Labrador, Canada, to verify the flexibility and practicality of our algorithm. © 1980-2012 IEEE.
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