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Theory and Applications of Seismic Inversion

This special issue belongs to the section “Mineral Exploration Methods and Applications“.

Special Issue Information

Dear Colleagues,

Seismic inversion consists of a wide range of methods, techniques and algorithms, each dealing with a specific part in the whole range of seismic data analysis and interpretation. Seismic inversion is not only the heart of the seismology and seismic exploration, but is always at the leading edge of investigation and research. Advanced methods in waveform inversion algorithms are still rapidly developing towards resolving the problem of seismic imaging in complex geological structures, resolving the obstacles of obtaining high seismic images from deep earth and using the contribution of all information imbedded in recorded data by inversion of the full waveform in full-waveform inversion methods. In velocity analysis, the inversion methods largely consist of investigations on seismic inversion. Traveltime tomography, gridded or layer-based and hybrid inversion techniques are among the seismic inversion methods that are developing rapidly and finding vast application in the chain of seismic data processing and interpretation. The researchers who investigate the development of inversion methods for deriving velocity models are welcomed to consider submitting their work to this Special Issue. 

These methods are an important part of the leading edge of seismic inversion investigations. Manuscripts addressing these state-of-the-art methods in seismic inversion are of great interest in this Special Issue. Ambiguities in the geological interpretation of seismic data are also greatly reduced by interpreting images and models obtained through the inversion of seismic data in cooperation with other sources of geophysical data. Therefore, manuscripts dealing with joint inversion, integrated inversion and cooperative inversion also attract substantial interest from the researchers working on seismic inversion. Considering the increasing application of machine learning (ML) and deep learning (DL) methods in seismic inversion, researchers studying the application of ML/DL in seismic inversion methods are welcomed to submit manuscripts.

This Special Issue is organized into three sections:

  • Section 1 Seismic inversion in the field of waveform inversion—seismic imaging and migration, velocity model building.
  • Section 2 Seismic inversion in modelling rock physical and petrophysical parameters, facie analysis, AVO analysis, colored inversion and prestack inversion.
  • Section 3 Seismic inversion in cooperation with other geophysical data inversions used in joint inversion, cooperative inversion and integrated inversion.

Dr. Mehrdad Soleimani Monfared
Dr. Behshad Jodeiri Shokri
Dr. Amin Roshandel Kahoo
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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. Minerals 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 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

  • waveform inversion
  • traveltime tomography
  • image-domain inversion
  • bayesian/intelligent inversion
  • stochastic/deterministic inversion
  • probabilistic/geostatistical inversion
  • acoustic/elastic impedance inversion
  • AVO/simultaneous/colored inversion
  • cooperative/joint/integrated inversion
  • facies controlled/rock physics inversion

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Minerals - ISSN 2075-163X