Modern Methods of Airborne Electromagnetic Survey

Moilanen, J.

doi:10.1134/s106935132205007x

Cited by 4 publications

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The AEM method, which uses airborne mobile platforms, has advantages in terms of fast exploration speed, low cost, and strong adaptability to terrain and landforms. It can quickly complete regional electromagnetic data scanning and collection work, and has become one of the preferred technical methods for exploration work in areas with complex geological conditions [ 1 , 2 , 3 ]. In addition, with the continuous upgrading of AEM hardware systems, their lateral resolution and sampling rates have been improved considerably, providing the necessary guarantees for fine near-surface detection.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Separate and Joint Inversions of Multi-Component Frequency-Domain Airborne Electromagnetic Data: Synthetic Model Studies

Yang,

Huang,

Yan

et al. 2023

Sensors

View full text Add to dashboard Cite

Airborne electromagnetic (AEM) surveys using airborne mobile platforms enable rapid and efficient exploration of areas where groundwork is difficult. They have been widely used in fields such as shallow resource exploration and environmental engineering. Three-dimensional AEM inversion is the main technique used in fine structural interpretation. However, most current methods focus on separate component data inversions, which limit the kinds of structures that can be recovered in the inversion results. To address this issue, a method for the robust 3D joint inversion of multicomponent frequency-domain AEM data was developed in this study. First, a finite element method based on unstructured tetrahedral grids was used to solve the forward problem of frequency-domain AEM data for both isotropic and anisotropic media. During inversion, a limited-memory quasi-Newton (L-BFGS) method was used to reduce the memory requirements and enable the joint inversion of large-scale multicomponent AEM data. The effectiveness of our algorithm was demonstrated using synthetic models for both isotropic and anisotropic cases, with 5% Gaussian noise added to the modeling data to simulate the measured data for separate and joint inversions. The results of the synthetic models show that joint inversion has advantages over separate inversion in that it enables the recovery of finer underground structures and provides a novel approach for the fine interpretation of frequency-domain AEM data.

show abstract

Section: Introductionmentioning

confidence: 99%