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SMIwiz: An integrated toolbox for multidimensional seismic modelling and imaging

  • School of Mathematics, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This paper contributes an open source software - SMIwiz, which integrates seismic modelling, reverse time migration (RTM), and full waveform inversion (FWI) into a unified computer implementation. SMIwiz has the machinery to do both 2D and 3D simulation in a consistent manner. The package features a number of computational recipes for efficient calculation of imaging condition and inversion gradient: a dynamic evolving computing box to limit the simulation cube and a well-designed wavefield reconstruction strategy to reduce the memory consumption when dealing with 3D problems. The modelling in SMIwiz runs independently: each shot corresponds to one processor in a bijective manner to maximize the scalability. A batchwise job scheduling strategy is designed to handle large 3D imaging tasks on computer with limited number of cores. The viability of SMIwiz is demonstrated by a number of applications on benchmark models. Program summary: Program Title: SMIwiz CPC Library link to program files: https://doi.org/10.17632/tygszns27k.1 Developer's repository link: https://github.com/yangpl/SMIwiz Licensing provisions: GNU General Public License v3.0 Programming language: C, Shell, Fortran External dependencies: MPI [1], FFTW [2] Nature of problem: Seismic modelling and imaging (FWI and RTM) Solution method: High-order finite-difference time-domain (FDTD) for modelling on staggered grid; Quasi-Newton LBFGS algorithm for nonlinear optimization; line search to estimate step length based on Wolfe condition References: [1] https://www.mpich.org/ [2] http://fftw.org/

Original languageEnglish
Article number109011
JournalComputer Physics Communications
Volume295
DOIs
StatePublished - Feb 2024
Externally publishedYes

Keywords

  • Finite-difference time-domain (FDTD)
  • Full waveform inversion (FWI)
  • Reverse time migration (RTM)
  • Seismic modelling
  • Stochastic gradient descent (SGD)

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