Special Issue "Theory and Applications of Seismic Inversion"

A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Exploration Methods and Applications".

Deadline for manuscript submissions: 31 December 2022 | Viewed by 882

Special Issue Editors

Dr. Mehrdad Soleimani Monfared
E-Mail Website
Guest Editor
1. Geophysical Institute (GPI), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
2. Department of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran
Interests: seismic inversion; seismic imaging; velocity model analysis; seismic geological interpretation
Dr. Behshad Jodeiri Shokri
E-Mail Website
Guest Editor
School of Surveying and Built Environment, University of Southern Queensland, Toowoomba, QLD, Australia
Interests: geophysics; environmental geophysics; mining engineering; artificial intelligence
Dr. Amin Roshandel Kahoo
E-Mail Website
Guest Editor
Department of Mining, Petroleum, and Geophysics, Shahrood University of Technology, Shahrood, Iran
Interests: seismic data analysis; AVO; seismic attributes

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. 

The simulation of properties in petroleum or geothermal reservoirs, seismic characterization, facies analysis, the derivation of petrophysical and rock physical parameters, amplitude versus offset (AVO) analysis and many other applications in the property simulation of the subsurface are among the important applications of seismic inversion. 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 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. 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 2000 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.


  • 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

Published Papers (1 paper)

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Elastic Impedance Simultaneous Inversion for Multiple Partial Angle Stack Seismic Data with Joint Sparse Constraint
Minerals 2022, 12(6), 664; https://doi.org/10.3390/min12060664 - 24 May 2022
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Elastic impedance (EI) inversion for partial angle stack seismic data is a key technology in seismic reservoir prediction within the oil and gas industry. EI inversion provides a consistent framework to invert partial angle stack seismic data, just as the AI inversion does [...] Read more.
Elastic impedance (EI) inversion for partial angle stack seismic data is a key technology in seismic reservoir prediction within the oil and gas industry. EI inversion provides a consistent framework to invert partial angle stack seismic data, just as the AI inversion does for post-stack data. The commonly used EI inversion process is angle by angle. Hence, the inverted EI for different angles may be nonconforming, especially for the seismic data with a low signal-to-noise ratio. This paper proposes to simultaneously invert multiple partial angle stack seismic data to obtain EI for different angles at once. To obtain conformable EI, we used the joint sparse constraint on the reflection coefficients for different angles. Then, the objective function for simultaneous EI inversion was constructed. Next, synthetic seismic data profiles with three different angles were used to show the superiority of the proposed EI inversion method compared to the conventional method. At last, a real seismic data line was used to test the feasibility of the proposed method in practice. The inversion results of synthetic data and real data showed that it provides an effective new alternative method to estimate EI from partial stack seismic data. Full article
(This article belongs to the Special Issue Theory and Applications of Seismic Inversion)
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