A three-dimensional transient electromagnetic data inversion method based on a time—frequency transformation

• Published in: Applied geophysics Vol. 17; no. 3; pp. 361 - 376
• Main Authors: Yang, Yun-Jian, Wang, Xu-Ben, Liu, Xue-Jun, Mi, Xiao-Li, Mao, Lifeng
• Format: Journal Article
• Language: English
• Published: Beijing Chinese Geophysical Society 01.09.2020; Springer Nature B.V; BGP Inc., Zhuozhou 072750, China%College of Geophysics, Chengdu University of Technology, Chengdu, Sichuan 610059, China%BGP Inc., Zhuozhou 072750, China; College of Geophysics, Chengdu University of Technology, Chengdu, Sichuan 610059, China
• Subjects: Algorithms; Aquatic reptiles; Data; Earth and Environmental Science; Earth Sciences; Electrical & Electromagnetic Methods; Fourier transforms; Frequency domain analysis; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Linear transformations; Parameter modification; Regularization; Trigonometric functions; 3D EM inversion; time–frequency transformation; TEM; 3D EM forward; Transient electromagnetic method; digital filtering
• ISSN: 1672-7975; 1993-0658
• DOI: 10.1007/s11770-020-0826-6

Herein, a three-dimensional (3D) inversion method in the frequency domain based on a time–frequency transformation was developed to improve the efficiency of the 3D inversion of transient electromagnetic (TEM) data. The Fourier transform related to the electromagnetic response in the frequency and time domains becomes a sine or cosine transform under the excitation of downward-step current. We established a transformation matrix based on the digital filtering calculation for the sine transform, and then the frequency domain projection of the TEM data was determined from the linear transformation system using the smoothing constrained least squares inversion method, in which only the imaginary part was used to maintain the TEM data transformation equivalence in the bidirectional projection. Thus, the time-domain TEM inversion problem was indirectly and effectively solved in the frequency domain. In the 3D inversion of the transformed frequency-domain data, the limited-memory Broyden–Fletcher–Goldfarb–Shannoquasi–Newton (L-BFGS) method was used and modified with a restart strategy to adjust the regularization parameter when the algorithm tended to a local minimum. Synthetic data tests showed that our domain transformation method can stably project the TEM data into the frequency domain with very high accuracy; furthermore, the 3D inversion of the transformed frequency-domain data is stable, can be used to recover the real resistivity model with an acceptable efficiency.