Application of the perfectly matched layer in 3-D marine controlled-source electromagnetic modelling. Issue 1 (13th September 2017)

• Record Type: Journal Article
• Authors: Li, Gang; Li, Yuguo; Han, Bo; Liu, Zhan
• Is Part Of: Geophysical journal international. Volume 212:Issue 1(2018:Jan.)
• Page Start: 333
• Page End: 344
• Publication Date: 2017-09-13
• Subjects: Controlled source electromagnetics (CSEM) -- Marine electromagnetics -- Numerical modelling; Geophysics -- Periodicals; 550
• DOI: 10.1093/gji/ggx382
• Languages: English
• ISSNs: 0956-540X

Abstract

SUMMARY: In this study, the complex frequency-shifted perfectly matched layer (CFS-PML) in stretching Cartesian coordinates is successfully applied to 3-D frequency-domain marine controlled-source electromagnetic (CSEM) field modelling. The Dirichlet boundary, which is usually used within the traditional framework of EM modelling algorithms, assumes that the electric or magnetic field values are zero at the boundaries. This requires the boundaries to be sufficiently far away from the area of interest. To mitigate the boundary artefacts, a large modelling area may be necessary even though cell sizes are allowed to grow toward the boundaries due to the diffusion of the electromagnetic wave propagation. Compared with the conventional Dirichlet boundary, the PML boundary is preferred as the modelling area of interest could be restricted to the target region and only a few absorbing layers surrounding can effectively depress the artificial boundary effect without losing the numerical accuracy. Furthermore, for joint inversion of seismic and marine CSEM data, if we use the PML for CSEM field simulation instead of the conventional Dirichlet, the modelling area for these two different geophysical data collected from the same survey area could be the same, which is convenient for joint inversion grid matching. We apply the CFS-PML boundary to 3-D marine CSEM modelling by using the staggered finite-difference discretization. Numerical test indicates that the modelling algorithm using the CFS-PML also shows good accuracy compared to the Dirichlet. Furthermore, the modelling algorithm using the CFS-PML shows advantages in computational time and memory saving than that using the Dirichlet boundary. For the 3-D example in this study, the memory saving using the PML is nearly 42 per cent and the time saving is around 48 per cent compared to using the Dirichlet.