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Marine Geophysics and Marine Seismology Research

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Oceans and Coastal Zones".

Deadline for manuscript submissions: closed (25 October 2023) | Viewed by 1764

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Guest Editor
Ocean College, Zhejiang University, Zhoushan, China
Interests: marine geophysics; seismic exploration; full waveform inversion; artificial intelligence
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Special Issue Information

Dear Colleagues,

Marine geophysics utilizes a range of techniques, including gravity, magnetic, electrical, and artificial seismic methods, in order to study the various physical properties of the ocean floor, such as its composition, temperature, and magnetism. This research is crucial to the study of the geological evolution of the ocean floor and to exploring the natural resources beneath the seafloor. Surveying the structural composition of the subsea medium is a challenging and strongly nonlinear inverse problem, regardless of the method used. Realizing the global optimal solution requires efficient and high-quality data acquisition technology, a high-fidelity data processing method, a robust inverse problem optimization algorithm and an efficient computer implementation algorithm. This Special Issue is dedicated to solving the problems related to the accurate inversion of geophysical parameter models of sub-seabed media using marine geophysical data.

This Special Issue welcomes research on topics that include, but are not limited to, the following areas:

  1. Novel marine geophysics and seismic data observation instruments, methods, and observation systems.
  2. Novel marine geophysical and seismic data processing methods.
  3. A novel high-fidelity and high-efficiency robust geophysical and seismic inversion method.
  4. The application of artificial intelligence in marine geophysical inversion.
  5. The application cases of marine geophysics in marine geoscience research and the exploration of marine natural resources.

Dr. Guoxin Chen
Guest Editor

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Keywords

  • observation instruments
  • observation methods
  • observation systems
  • marine geophysical data processing
  • geophysical inversion method
  • artificial intelligence
  • marine geoscience
  • exploration of marine natural resources

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Published Papers (1 paper)

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Research

21 pages, 7098 KiB  
Article
Waveform Imaging Based on Linear Forward Representations for Scalar Wave Seismic Data
by Fangzheng Lu, Shengchang Chen and Guoxin Chen
Water 2024, 16(3), 403; https://doi.org/10.3390/w16030403 - 25 Jan 2024
Viewed by 1437
Abstract
The current reverse-time migration, which is based on wave equations for imaging wavefields, employs an imaging formula derived from Claerbout’s imaging principle. This imaging formula is only valid for plane waves with small incident angles on the perfectly flat reflecting surface. However, the [...] Read more.
The current reverse-time migration, which is based on wave equations for imaging wavefields, employs an imaging formula derived from Claerbout’s imaging principle. This imaging formula is only valid for plane waves with small incident angles on the perfectly flat reflecting surface. However, the complexity of seismic wave propagation may lead to situations that do not meet this requirement. Therefore, this paper divides the subsurface into local scattering and reflecting bodies. It proposes linear forward representations for scattering and reflection data based on perturbations in the physical parameters and wave impedance, respectively. To further describe the effect on the reflecting body boundary, the local reflection coefficient is defined and the linear forward representation for the reflection data based on it is obtained. After that, the proposed linear forward representations are used as the forward equations for the linear inverse of the seismic data, and the seismic data waveform imaging method is developed based on linear inversion theory. At the same time, the specific waveform imaging calculation formulas for scalar wave scattering data and scalar wave reflection data are provided and validated via numerical experiments. Compared with the current reverse-time migration, waveform migration not only has the correct phase and higher resolution in theory but also does not increase the computational complexity. To some extent, it improves the deficiencies of the current structural imaging and provides a basis for subsurface lithological imaging. Full article
(This article belongs to the Special Issue Marine Geophysics and Marine Seismology Research)
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