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3D airborne electromagnetic data inversion based on the block coordinate descent method

Zhang Bo, Qu Kelin, Yin Changchun, Liu Yunhe, Ren Xiuyan, Su Yang and Vikas Chand Baranwal
3D airborne electromagnetic data inversion based on the block coordinate descent method
Geophysics (October 2024) 89 (5): E221-E228

Abstract

Airborne electromagnetic (AEM) surveys usually cover a large area and create a large amount of data. This has limited the application of 3D AEM inversions. To make 3D AEM data inversion at a large scale possible, the local mesh method has been developed to avoid solving large matrix equations in 3D AEM modeling. However, the local mesh only saves the computational cost and memory during forward modeling and Jacobian calculations. When the survey area is very large, the cost for storing and solving the inversion equations can be very high. This brings significant challenges to practical 3D AEM inversions. To solve this problem, we develop a 3D scheme based on the block coordinate descent (BCD) method for inversions of large-scale AEM data. The BCD method divides the inversion for large models into series of small-local inversions, so that we can avoid solving the large matrix equations. Numerical experiments determine that the BCD method can obtain very similar results to those from the existing inversion methods but saves huge amounts of memory.


ISSN: 0016-8033
EISSN: 1942-2156
Coden: GPYSA7
Serial Title: Geophysics
Serial Volume: 89
Serial Issue: 5
Title: 3D airborne electromagnetic data inversion based on the block coordinate descent method
Affiliation: Jilin University, College of Geo-Exploration Science and Technology, Changchun, China
Pages: E221-E228
Published: 202410
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 30
Accession Number: 2024-061415
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 2 tables
N58°00'00" - N71°00'00", E04°00'00" - E31°00'00"
Secondary Affiliation: Geological Survey of Norway (NGU), NOR, Norway
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2024, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 2024
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