The State-of-Art Methods and Case Studies in Exploration Seismology

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Geophysics".

Deadline for manuscript submissions: closed (10 December 2022) | Viewed by 2313

Special Issue Editors


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Guest Editor
School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China
Interests: exploration seismology; earthquake seismology; computational seismology
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Guest Editor
School of Geosciences, China University of Petroleum (East China), Qingdao 266580, Shandong, China
Interests: seismic data processing; seismic modeling; seismic imaging; velocity building; near-surface detection

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Guest Editor
State Key Laboratory of Petroleum Resources and Prospecting, Unconventional Petroleum Research Institute, China University of Petroleum, Beijing 100083, China
Interests: seismic signal processing; seismic stress estimation; elastic seismic imaging, with deep learning and cloud computing

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Guest Editor
School of Earth Sciences and Engineering, Xi’an Shiyou University, Xi’an, China
Interests: seismic forward modeling; seismic migration; crosswell seismic exploration and multi-component seismic technology

Special Issue Information

Dear Colleagues

Exploration seismology is a powerful tool for near-surface detection, oil/gas and mineral exploration, geothermal study, and geological disaster early warning. It can provide both high-resolution structural and lithological information after careful and systematic data acquisition, processing, and interpretation. With the rapid development of high-performance computing and the increasing challenges of deep and ultradeep resource exploration and near-surface environmental monitoring, the theory and methods of exploration seismology have made great progress in the past three decades. This Special Issue invites contributions from a broad range of theoretical innovations, optimized methodology, and case studies in exploration seismology. The main contents include the following aspects:

  • Advanced signal denoising and interpolation methods for seismic data;
  • Accurate wave propagation modeling in acoustic, (an)elastic and anisotropic media;
  • Advanced ray-based and wave equation seismic migration methods;
  • High-resolution least-squares seismic imaging;
  • Robust model building techniques using traveltime tomography and full-waveform inversion;
  • The applications of artificial intelligent methods in seismic data processing and interpretation;
  • The applications of high-performance computing in exploration seismology;
  • Typical case studies of exploration seismology in near-surface survey and resource exploration.

Submissions can include original research articles, comprehensive reviews, and case studies relating to the title/description above. Each submission will undergo a formal peer review process, and acceptance or rejection of the submitted article will be evaluated upon reception of the reviews.

Prof. Dr. Jidong Yang
Prof. Dr. Jianping Huang
Prof. Dr. Yang Zhao
Dr. Feilong Yang
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. Geosciences is an international peer-reviewed open access monthly journal published by MDPI.

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Published Papers (1 paper)

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Research

13 pages, 4251 KiB  
Article
Full Waveform Inversion Based on an Asymptotic Solution of Helmholtz Equation
by Maxim Protasov, Kirill Gadylshin, Dmitry Neklyudov and Ludek Klimes
Geosciences 2023, 13(1), 19; https://doi.org/10.3390/geosciences13010019 - 12 Jan 2023
Viewed by 1619
Abstract
This study considers the full waveform inversion (FWI) method based on the asymptotic solution of the Helmholtz equation. We provide frequency-dependent ray tracing to obtain the wave field used to compute the FWI gradient and calculate the modeled data. With a comparable quality [...] Read more.
This study considers the full waveform inversion (FWI) method based on the asymptotic solution of the Helmholtz equation. We provide frequency-dependent ray tracing to obtain the wave field used to compute the FWI gradient and calculate the modeled data. With a comparable quality of the inverse problem solution as applied to the standard finite difference approach, the speed of the calculations in the asymptotic method is an order of magnitude higher. A series of numerical experiments demonstrate the approach’s effectiveness in reconstructing the macro velocity structure of complex media for low frequencies. Full article
(This article belongs to the Special Issue The State-of-Art Methods and Case Studies in Exploration Seismology)
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