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Seismic Imaging and Inversion in Applied Geophysics: Novel Methods and Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: 20 July 2026 | Viewed by 1628

Special Issue Editors


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Guest Editor
School of Geoscience and Info-Physics, Central South University, Changsha 410083, China
Interests: exploration geophysics; applied geophysics; seismology; reservoir geophysics; rock physics; reservoir characterization; seismic inversion

E-Mail Website
Guest Editor
School of Geoscience and Info-Physics, Central South University, Changsha 410083, China
Interests: surface wave forward modeling and inversion; ambient noise tomography

Special Issue Information

Dear Colleagues,

This Special Issue is dedicated to advancing the field of seismic imaging and inversion in applied geophysics, with a focus on novel methodologies and their practical applications. While seismic imaging remains the core theme, we encourage submissions that integrate complementary geophysical techniques (e.g., electromagnetic, gravity, or machine learning approaches) to enhance subsurface characterization. Authors should emphasize the central role of seismic imaging/inversion in their work and demonstrate its contribution to resolving complex geological challenges or to improving data interpretation efficiency.

We strongly believe that contributions from leading researchers will provide critical insights to guide both academia and industry toward next-generation seismic solutions.

Submissions that bridge theoretical advancements with real-world validation (e.g., field data case studies, benchmark comparisons, or experimental-scale physical modeling) are highly valued. Methodological papers should prioritize reproducibility, while applications must clearly articulate societal or industrial impact. A key aim of this Special Issue is to examine the transformative potential of seismic imaging and inversion as a non-invasive tool for high-resolution interrogations of Earth's multi-scale subsurface systems, spanning from basin-scale tectonics to reservoir rock physics.

Prof. Dr. Xinpeng Pan
Dr. Dazhou Zhang
Guest Editors

Manuscript Submission Information

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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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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 full-waveform inversion (FWI)
  • machine-learning-enhanced seismic imaging and inversion
  • joint seismic–electromagnetic inversion
  • high-resolution seismic attribute analysis
  • reservoir characterization
  • anisotropic seismic imaging and inversion
  • fiber-optic distributed acoustic sensing (DAS)

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Published Papers (1 paper)

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Research

23 pages, 6106 KB  
Article
Seismic Multi-Parameter Full-Waveform Inversion Based on Rock Physical Constraints
by Cen Cao, Deshan Feng, Jia Tang and Xun Wang
Appl. Sci. 2025, 15(14), 7849; https://doi.org/10.3390/app15147849 - 14 Jul 2025
Viewed by 1169
Abstract
Seismic multi-parameter full-waveform inversion (FWI) integrating velocity and density parameters can fully use the kinematic and dynamic information of observed data to reconstruct underground models. However, seismic multi-parameter FWI is a highly ill-posed problem due to the strong dependence on the initial model. [...] Read more.
Seismic multi-parameter full-waveform inversion (FWI) integrating velocity and density parameters can fully use the kinematic and dynamic information of observed data to reconstruct underground models. However, seismic multi-parameter FWI is a highly ill-posed problem due to the strong dependence on the initial model. An inaccurate initial model often leads to cycle skipping and convergence to local minima, resulting in poor inversion results. The introduction of prior information can regularize the inversion problem, not only improving the crosstalk phenomenon between parameters, but also effectively constraining the inversion parameters, enhancing the inversion efficiency. Multi-parameter FWI based on rock physical constraints can introduce prior information of underground media into the objective function of FWI. Taking a simple layered model as an example, the results show that the inversion strategy based on rock physical constraints can enhance the stability of inversion and obtain high-precision inversion results. Application to the international standard 1994BP model further confirms that the proposed inversion strategy has good applicability to complex geological models. Full article
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