Analytical Review of the Book "Subsurface Image and Estimation of Medium Parameters in Seismic Exploration"

This analytical review examines the scientific conception, structure, distinctive features, and principal results of the book “Subsurface Image and Estimation of Medium Parameters in Seismic Exploration.” Particular attention is given to the unified conceptual sequence from seismic imaging and focusing to wavefield kinematics and dynamics, medium-parameter estimation, interpretation, algorithms, and software implementation. The review discusses the role of traveltime-field derivatives, the NIP theorem, multifocusing, kinematic filtering, the spherical-mirror method, seismic-stratigraphic stacking, migration and demigration, the inverse dynamic problem in a viscoelastic medium, RGB seismic imaging, and the CubeTechnology system. It also considers the book’s connection with the traditions of the Novosibirsk school of seismics. Several scientific formulations that may require additional clarification are analyzed, including the recovery of viscoelastic-medium parameters, the role of frequency, attenuation and quality factor, the interpretation of CDP as a limiting case of migration, the imaging of specular boundaries, and the physical interpretation of RGB seismic attributes. The review concludes that the book represents an authorial mathematical and physical conception of seismic imaging and medium-parameter estimation, developed from theoretical formulations through algorithms and software implementation to applications on synthetic and real seismic data.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-25
DOI
https://doi.org/10.5281/zenodo.22100291
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analytical Review of the Book "Subsurface Image and Estimation of Medium Parameters in Seismic Exploration"

Sergey Alekseevich Gritsenko
Zenodo (CERN European Organization for Nuclear Research)
Seismic Imaging and Inversion Techniques
article

Analytical Review of the Book "Subsurface Image and Estimation of Medium Parameters in Seismic Exploration"

Sergey Alekseevich Gritsenko
article en

Abstract

This analytical review examines the scientific conception, structure, distinctive features, and principal results of the book “Subsurface Image and Estimation of Medium Parameters in Seismic Exploration.” Particular attention is given to the unified conceptual sequence from seismic imaging and focusing to wavefield kinematics and dynamics, medium-parameter estimation, interpretation, algorithms, and software implementation. The review discusses the role of traveltime-field derivatives, the NIP theorem, multifocusing, kinematic filtering, the spherical-mirror method, seismic-stratigraphic stacking, migration and demigration, the inverse dynamic problem in a viscoelastic medium, RGB seismic imaging, and the CubeTechnology system. It also considers the book’s connection with the traditions of the Novosibirsk school of seismics. Several scientific formulations that may require additional clarification are analyzed, including the recovery of viscoelastic-medium parameters, the role of frequency, attenuation and quality factor, the interpretation of CDP as a limiting case of migration, the imaging of specular boundaries, and the physical interpretation of RGB seismic attributes. The review concludes that the book represents an authorial mathematical and physical conception of seismic imaging and medium-parameter estimation, developed from theoretical formulations through algorithms and software implementation to applications on synthetic and real seismic data.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 12%
Seismic Imaging and Inversion Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.