Accurate 3D frequency-domain seismic wave modeling with the wavelength-adaptive 27-point finite-difference stencil: A tool for full-waveform inversion
نویسندگان
چکیده
Efficient frequency-domain full-waveform inversion (FWI) of long-offset node data can be performed with a few frequencies. The seismic response these frequencies computed compact finite-difference stencils on regular Cartesian grid direct or hybrid direct/iterative methods. Compactness, which is necessary to mitigate the fill-in induced by lower-upper factorization, implemented second-order stencils, whereas accuracy achieved building consistent mass matrix and compound stiffness optimal weights so that stencil covers eight cells surrounding central point, leading 27-point stencil. Classical approaches estimate constant jointly minimizing numerical dispersion in homogeneous media for several numbers points per wavelength ([Formula: see text]). Then, impedance built using at each point covering heterogeneous subsurface model, nonuniform wavefield accuracy. Instead, we [Formula: text]-dependent once all separately value text] range found FWI applications. build without computational overhead selecting corresponding local text], hence wavelength-adaptive This separate approach adaptive makes uniform. We benchmark wavefields, are 3D large-scale models sparse multifrontal solver nonadaptive/adaptive against analytical solutions when available highly accurate discretization-free convergent Born series method. Each reveals higher relative nonadaptive one. In presence sharp contrasts, also more than classical finite-different time-domain staggered-grid relevance finally illustrated case study 3.5–13 Hz frequency band.
منابع مشابه
3D acoustic frequency-domain full-waveform inversion
We present one of the first attempt at implementing a massively parallel frequency-domain full-waveform inversion algorithm for imaging 3D acoustic media. The inverse method is based on a classic steepest-descent algorithm. The algorithm was designed so that one or several frequencies are inverted at a time. Wave propagation modeling, a key component of the inversion algorithm, is performed wit...
متن کاملDiscretized Adjoint State Time and Frequency Domain Full Waveform Inversion: A Comparative Study
This study derives the discretized adjoint states full waveform inversion (FWI) in both time and frequency domains based on the Lagrange multiplier method. To achieve this, we applied adjoint state inversion on the discretized wave equation in both time domain and frequency domain. Besides, in this article, we introduce reliability tests to show that the inversion is performing as it should be ...
متن کاملGPGPU-Aided 3D Staggered-grid Finite-difference Seismic Wave Modeling
Finite difference is a simple, fast and effective numerical method for seismic wave modeling, and has been widely used in forward waveform inversion and reverse time migration. However, intensive calculation of three-dimensional seismic forward modeling has been restricting the industrial application of 3D pre-stack reverse time migration and inversion. Aiming at this problem, in this paper, a ...
متن کاملA Compact 2-D Full-Wave Finite-Difference Frequency-Domain Method for General Guided Wave Structures
A compact two-dimensional (2-D) full-wave finite-difference frequency-domain method is proposed for the analysis of dispersion characteristics of a general guided wave structure. Because the longitudinal field components are eliminated in the proposed method, only four transverse field components are involved in the final resulting eigen equation. This feature considerably reduces the required ...
متن کاملOptimal fourth-order staggered-grid finite-difference scheme for 3D frequency-domain viscoelastic wave modeling
Article history: Received 5 November 2015 Received in revised form 24 May 2016 Accepted 12 June 2016 Available online 17 June 2016
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geophysics
سال: 2022
ISSN: ['0016-8033', '1942-2156']
DOI: https://doi.org/10.1190/geo2021-0606.1