Modular finite volume approach for 3D magnetotelluric modeling of the Earth medium with general anisotropy

https://doi.org/10.1016/j.pepi.2020.106585Get rights and content

Highlights

  • A finite volume approach is elaborately formulated for 3D Earth models with general anisotropy.

  • This approach compromises advantages of finite element method and finite difference method on structured meshes.

  • Modular implementation ensures flexible further developments towards inversion.

  • Physical fields of Earth models with electrical anisotropy could be directly explored.

Abstract

Electrical property of the Earth should be best depicted by anisotropic 3D models, while many numerical issues remain to be solved before it becomes practical, such as implementation complexity and computational efficiency. Magnetotellurics (MT) is the primary method to explore electrical property of the deep Earth, and MT forward modeling with 3D anisotropy has been investigated primarily by finite element methods (FEM) and finite difference methods (FDM). Here, we present a new implementation of finite volume method (FVM) accounting for general anisotropy. Theoretically, FVM can combine the advantages of FEM in mesh flexibility and superior accuracy, and the advantages of FDM in straightforward implementation and economic computation load. For demonstration, a modular framework to approximate Maxwell's equations on a structured staggered-grid (mesh flexibility ignored), which solves electric fields tangential to cell edges, is implemented in an object-oriented paradigm. Synthetic examples are presented to verify its accuracy and feasibility, which includes (quasi-) analytic solution of simplified models and numerical solution of a dyke model. A variant of COMMEMI 3D-2 model with general anisotropy is simulated to probe the characteristic behaviors of EM fields under such circumstance. This approach makes the dependence of model operators on anisotropic conductivity parameters explicit and can simplify further sensitivity derivation, and takes a step forward for the feasible development of MT inversion algorithms concerning 3D anisotropy.

Introduction

Electrical anisotropy is a direction-dependent property of the Earth, which should be distinguished from its location-dependent inhomogeneity, while both features are of great importance to learn deep geological processes and tectonic activities. Over the decades, many studies have revealed its prevalence in the Earth (e.g., Kellett et al., 1992; Mareschal et al., 1995; Bahr, 1997; Everett and Constable, 1999; Bahr and Simpson, 2002; Gatzemeier and Moorkamp, 2005; Hamilton et al., 2006; Newman et al., 2010; Roux et al., 2011; Zhang et al., 2014; Adetunji et al., 2015). The state-of-the-art research on electrical anisotropy has been reviewed elaborately by related practitioners (cf., Wannamaker, 2005; Baba, 2005; Martí, 2014; Liu et al., 2018b). From the perspective of physics, 3D models with anisotropy in different scales would be the most exhaustive and appropriate to delineate Earth's conductivity structures.

With regard to numerical aspects of 3D anisotropic modeling for geophysical electrical or electromagnetic (EM) methods, Xiong et al. (1986) and Xiong (1989) presented integral equation approaches for dipole source responses of 3D structures embedded in layered anisotropic media, which, to our knowledge, are the earliest reports on numerical calculation of 3D anisotropic geo-electromagnetic responses. A lot of efforts have been dedicated to related disciplines, such as EM induction logging for gas hydrates, DC resistivity method, and marine controlled-source EM method, and publications are continuously emerging (e.g., Davydycheva and Druskin, 1999; Wang and Fang, 2001; Weiss and Newman, 2002; Newman and Alumbaugh, 2002; Li and Spitzer, 2005; Wang et al., 2013; Yin et al., 2014; Liu and Yin, 2014; Cai et al., 2014; Yin et al., 2016; Qiu et al., 2018). Pain et al. (2003) even demonstrated a general framework of 3D anisotropic inversion for DC resistivity data, which shed lights on the anisotropic inversion of other electrical/EM methods.

Focusing on MT specifically, Martinelli and Osella (1997) used a Rayleigh-Fourier method to approximate the 3D MT responses of a multi-layered Earth with irregular interfaces, which is similar to integral equation method in better adapting to localized anomaly. Weidelt (1999) derived a 3D staggered-grid finite difference/volume algorithm solving electric fields perpendicular to cell faces, which accounts for general anisotropy but needs extra efforts to deal with the discontinuity of electric fields. And recently, Löwer and Junge (2017) investigated the influence of 3D anisotropy on the MT transfer functions; Cao et al. (2018a) presented a finite-difference method to model and invert 3D axial anisotropy; a similar implementation by Yu et al. (2018) and Han et al. (2018) accounts for general anisotropy. Xiao et al. (2018), Liu et al. (2018a) and Cao et al. (2018b) respectively reported their finite element algorithms for 3D anisotropy featured by edge-based analysis and various adaptive refinement techniques. Nevertheless, a concise, memory and computationally efficient approach is still in demand for practical use and further development towards inversion.

It's broadly acknowledged that FDM is straightforward to implement, while its accuracy is usually inferior to FEM and FVM; FEM can better adapt to topography and abrupt contrast, but could also be computationally expensive compared to FDM and FVM. In addition, tensor conductivity representing anisotropy may also substantially increase the number of non-zero elements when assembling the FEM coefficient matrix. Thus, theoretically, FVM can combine the advantages of FEM in mesh flexibility and superior accuracy compared to FDM, and the advantages of FDM in straightforward implementation and economic computation load compared to FEM (Jahandari and Farquharson, 2014; Jahandari et al., 2017; Rochlitz et al., 2019).

In light of above-mentioned justifications, along with the facts that physical meaning intuitively originates from the integral representations of differential operators, and straightforward implementation could be partly achieved by using regular meshes, we present a new staggered-grid finite volume approximation of MT responses with general anisotropy for the 3D Earth, which solves electric fields tangential to cell edges and discretizes integral form of frequency-domain Maxwell's equations. The method is implemented in an object-oriented paradigm, for which the simulation procedure can be abstracted into modules that is readily available to the efficient modular derivation of sensitivity calculation and inversion development (Egbert and Kelbert, 2012; Kelbert et al., 2014).

In Section 2, we briefly introduce the governing equations and establish the problem to be numerically solved. Then we elaborate the details about finite volume approach with respect to 3D electrical anisotropy in Section 3, with formal expressions to approximate the Curl-Curl operator and current density. In Section 4, (quasi-) analytic solutions of a half-space and a layered Earth model with general anisotropy are given to verify this approach, and additionally, a dyke model tested by us in 2D case (Guo et al., 2018) is constructed here in 3D situation for comparison. Finally presented in this Section is a variant of COMMEMI 3D-2 model with general anisotropy to probe the characteristic behaviors of EM fields under such situation.

Section snippets

Governing equations

In 3D anisotropic media, MT fields induced by naturally occurred plane waves are still governed by the general Maxwell's equations. Assuming a time-harmonic factor of e t and the quasi-static approximation (displacement current is neglected), one can express the frequency-domain Faraday's law and Ampere's law in differential form for generally anisotropic media as×E=μ0H,×H=σE,where E is the electric field, H is the magnetic field, μ0 = 4π × 10−7H/m is homogeneous magnetic permeability in

Finite volume approximation of curl-curl operator

Numerical approximation of Curl-Curl operator is well defined in EM geophysics (e.g., Kelbert, 2006). For completeness and clarification, we recall it here explicitly with discrete operators, and then put extra emphasis on the symmetry of the discrete expressions from finite volume approximation. According to Stokes' theorem, i.e., ∬S ∇ × F ⋅ dS = ∮lF ⋅ dl (F is a general vector field), integral forms of Eqs. (1), (2) can be transformed intoEdl=iωμHdS,Hdl=σEdS,respectively, where l is the

Half-space and layered Earth models

As to MT problem with general anisotropy, there exist analytic solutions for half-space model and quasi-analytic solutions for 1D layered Earth model. Thus, we firstly test our approach using a half-space model, and model parameters of which are σ1 = 1/100 S/m, σ2 = 1/500S/m, σ3 = 1/300S/m, Strike = 25°, Dip = 60° and Slant = 15°. Its apparent resistivities and impedance phases at any period should be uniformly identical to ρa=15.13188.64251.2015.13, and Φ=45°-45°135°135°. Pek and Santos (2002)

Summary

MT inversion heavily relies on the efficiency and accuracy of MT forward calculation, especially for anisotropic cases where tremendous forward calculation might be necessary for some inversion algorithms. FVM is such a promising approach for forward problems, which compromises the advantages of FEM and FDM. We have used this approach to approximate the MT responses of 3D Earth media with general anisotropy, which solves electric fields tangential to cell edges on structured meshes, thus mesh

Declaration of Competing Interest

None.

Acknowledgements

Zeqiu Guo gratefully acknowledge the sponsorship from China Scholarship Council for visiting Oregon State University (CSC 201406400018). We are also grateful to the referees for their valuable comments and constructive suggestions, which significantly improved this paper.

Funding

This work is co-financed by Open Fund of MOE Key Laboratory of Deep Earth Science and Engineering (Sichuan University) (No. DESEYU201906), “the Fundamental Research Funds for the Central Universities” (Sichuan University), and a grant from the ‘Macao Young Scholars Program’ (Project code: AM201904). Funding for Hao Dong was provided by NSFC under Grant No. 41504062 and 863 Program (No. 2014AA06A603).

Availability of data and materials

Not applicable.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Written informed consent for publication was obtained from all participants.

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