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Geosciences
Special Issues
Seismic Full-Waveform Imaging and Inversion across Scales
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Seismic Full-Waveform Imaging and Inversion across Scales

A special issue of Geosciences (ISSN 2076-3263).

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 3699

Special Issue Editor

Dr. Qiancheng Liu

E-Mail Website
Guest Editor
Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
Interests: seismic imaging; seismic tomography; inverse problems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The overall goal of this Special Issue is to bring together original cutting-edge research articles, reviews, and notes addressing seismic full-waveform imaging and inversion.

Over decades, thanks to the advances in numerical methods and high-performance computing, full-waveform imaging and inversion have gained broad applications across scales, such as hydrocarbon exploration, subduction-slab imaging, and global-scale tomography. Specifically, these technologies can be used to delineate parameter discontinuities or invert background parameters. The ultimate goal is to understand the Earth’s interior using all the information in a seismogram.

This Special Issue invites contributions that cover aspects including but not limited to the following:

  • Reflectivity imaging: acoustic/elastic reverse-time migration, least-squares migration, and other high-resolution migration methods;
  • Tomographic inversion: full-waveform inversion (FWI) or teleseismic FWI (deterministic or stochastic) using body waves, surface waves, or both;
  • Misfit function using L2 norm, Wasserstein norm, and so on, with regularization constraints, insensitive to local minima;
  • Multi-parameter applications in viscous media, elastic media, or both;
  • Multi-scale applications at the local, regional, or global scale;
  • Uncertainty quantification in deterministic or stochastic (gradient-based or Bayesian) approaches;
  • High-performance computing using MPI, GPU, or both.

Research on emerging technologies such as distributed acoustic sensing and machine learning is also welcome.

Dr. Qiancheng Liu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Geosciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • seismic imaging
  • seismic inversion
  • high-resolution
  • full-waveform
  • high-performance computing

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Published Papers (1 paper)

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Research

32 pages, 8542 KiB  
Article
Near-Surface 2D Imaging via FWI of DAS Data: An Examination on the Impacts of FWI Starting Model
by Michael B. S. Yust, Brady R. Cox, Joseph P. Vantassel, Peter G. Hubbard, Christian Boehm and Lion Krischer
Geosciences 2023, 13(3), 63; https://doi.org/10.3390/geosciences13030063 - 23 Feb 2023
Cited by 6 | Viewed by 3087
Abstract
Full waveform inversion (FWI) and distributed acoustic sensing (DAS) are powerful tools with potential to improve how seismic site characterization is performed. FWI is able to provide true 2D or 3D images of the subsurface by inverting stress wave recordings collected over a [...] Read more.
Full waveform inversion (FWI) and distributed acoustic sensing (DAS) are powerful tools with potential to improve how seismic site characterization is performed. FWI is able to provide true 2D or 3D images of the subsurface by inverting stress wave recordings collected over a wide variety of scales. DAS can be used to efficiently collect high-resolution stress wave recordings from long and complex fiber optic arrays and is well-suited for large-scale site characterization projects. Due to the relative novelty of combining FWI and DAS, there is presently little published literature regarding the application of FWI to DAS data for near-surface (depths <30 m) site characterization. We perform 2D FWI on DAS data collected at a well-characterized site using four different, site-specific 1D and 2D starting models. We discuss the unique benefits and challenges associated with inverting DAS data compared to traditional geophone data. We examine the impacts of using the various starting models on the final 2D subsurface images. We demonstrate that while the inversions performed using all four starting models are able to fit the major features of the DAS waveforms with similar misfit values, the final subsurface images can be quite different from one another at depths greater than about 10 m. As such, the best representation(s) of the subsurface are evaluated based on: (1) their agreement with borehole lithology logs that were not used in the development of the starting models, and (2) consistency at shallow depths between the final inverted images derived from multiple starting models. Our results demonstrate that FWI applied to DAS data has significant potential as a tool for near-surface site characterization while also emphasizing the significant impact that starting model selection can have on FWI results. Full article
(This article belongs to the Special Issue Seismic Full-Waveform Imaging and Inversion across Scales)
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