GO_3D_OBS - The multi-parameter benchmark geomodel for seismic imaging methods assessment and next generation 3D surveys design (version 1.0)

Abstract. The solid earth and exploration communities independently developed a variety of seismic imaging methods for passive- and active-source data. Despite the seemingly different approaches and underlying principles, many of those methods are based in some way or another on Green's theorem. The aim of this paper is to discuss a variety of imaging methods in a systematic way, using a specific form of Green's theorem (the homogeneous Green's function representation) as the common starting point. The imaging methods we cover are time-reversal acoustics, seismic interferometry, back propagation, source-receiver redatuming and imaging by double focusing. We review classical approaches and discuss recent developments that fully account for multiple scattering, using the Marchenko method. We briefly indicate new applications for monitoring and forecasting of responses to induced seismic sources, which are discussed in detail in a companion paper.

Download Full-text

Seismic Imaging Methods for Description of Abandoned Mines

10.1002/essoar.10500199.1 ◽

2018 ◽

Author(s):

Xiangyue Li ◽

Janghwan Uhm ◽

Dong-Joo Min ◽

Seokhoon Oh

Keyword(s):

Seismic Imaging ◽

Abandoned Mines ◽

Imaging Methods

Download Full-text

LEAST-SQUARE REVERSE TIME MIGRATION (LSRTM) IN THE SHOT DOMAIN

Brazilian Journal of Geophysics ◽

10.22564/rbgf.v34i3.831 ◽

2016 ◽

Vol 34 (3) ◽

Cited By ~ 1

Author(s):

Antonio Edson Lima de Oliveira ◽

Reynam Da Cruz Pestana ◽

Adriano Wagner Gomes dos Santos

Keyword(s):

Iterative Method ◽

Seismic Data ◽

Seismic Imaging ◽

Imaging Techniques ◽

Least Square ◽

Subsurface Imaging ◽

Reverse Time ◽

Reverse Time Migration ◽

Imaging Methods ◽

Time Migration

ABSTRACT. One of the major limitations of imaging methods is, usually, the incomplete recorded seismic data that cause difficulties for the subsurface imaging techniques...Keywords: seismic imaging, resolution, modeling, iterative method, computational coast. RESUMO. Uma das limitações das técnicas de imageamento é que, via de regra, os dados sísmicos registrados são incompletos. Isso impossibilita uma correta reconstituição dos refletores em subsuperfície...Palavras-chave: imageamento sísmico, resolução, modelagem, método iterativo, custo computacional.

Download Full-text

On the validation of seismic imaging methods: Finite frequency or ray theory?

Geophysical Research Letters ◽

10.1002/2014gl062571 ◽

2015 ◽

Vol 42 (2) ◽

pp. 323-330 ◽

Cited By ~ 11

Author(s):

Monica Maceira ◽

Carene Larmat ◽

Robert W. Porritt ◽

David M. Higdon ◽

Charlotte A. Rowe ◽

...

Keyword(s):

Seismic Imaging ◽

Ray Theory ◽

Finite Frequency ◽

Imaging Methods

Download Full-text

Small-scale modeling of onshore seismic experiment: A tool to validate numerical modeling and seismic imaging methods

Geophysics ◽

10.1190/geo2010-0339.1 ◽

2011 ◽

Vol 76 (5) ◽

pp. T101-T112 ◽

Cited By ~ 26

Author(s):

François Bretaudeau ◽

Donatienne Leparoux ◽

Olivier Durand ◽

Odile Abraham

Keyword(s):

Seismic Imaging ◽

Seismic Source ◽

Development Stage ◽

Experimental Models ◽

Field Application ◽

Propagation Model ◽

Small Scale ◽

Imaging Methods ◽

Scale Models ◽

Reduced Scale

The seismic imaging methods currently in the development stage need to be tested for experimental validation under controlled conditions. Yet natural media are very complex, and moreover, the parameters along the measurement profile prove difficult to evaluate independently of the seismic method itself. To satisfy this need, the ultrasonic measurement laboratory (MUSC) presented in this research has been devised to experimentally model seismic field measurements by using reduced-scale models. This facility is composed of small-scale models of the underground, an optical table with two moving arms, a laser interferometer, and adapted piezoelectric transducers used as the seismic sources. The source system has been adapted to simulate the behavior of a point-surface seismic source. This is essential to reproduce the spatial energy distribution of a surface seismic source and supersedes the sources used in the past for other reduced-scale seismic experimental models. The comparisons of experimental data collected with MUSC and numerical data simulated by means of finite-element viscoelastic modeling indicate very good agreement of time arrivals and amplitudes for a range of propagation distances until the amplitude has decreased to the system noise level. These results demonstrate that the MUSC laboratory is a system with plenty of promise for validating seismic imaging methods through testing on a perfectly known propagation model prior to field application.

Download Full-text

ABSTRACT: Improved seismic imaging methods for more accurate interpretation and attributes

AAPG Bulletin ◽

10.1306/a9675188-1738-11d7-8645000102c1865d ◽

2000 ◽

Vol 84 ◽

Author(s):

Whiting, Peter1, Carl Notfors2, Geo

Keyword(s):

Seismic Imaging ◽

Imaging Methods ◽

Accurate Interpretation

Download Full-text

Green's theorem in seismic imaging across the scales

Solid Earth ◽

10.5194/se-10-517-2019 ◽

2019 ◽

Vol 10 (2) ◽

pp. 517-536 ◽

Cited By ~ 3

Author(s):

Kees Wapenaar ◽

Joeri Brackenhoff ◽

Jan Thorbecke

Keyword(s):

Seismic Imaging ◽

Back Propagation ◽

Companion Paper ◽

Seismic Exploration ◽

Green's Theorem ◽

Imaging Methods ◽

Green’S Theorem ◽

Starting Point ◽

Recent Developments ◽

Double Focusing

Abstract. The earthquake seismology and seismic exploration communities have developed a variety of seismic imaging methods for passive- and active-source data. Despite the seemingly different approaches and underlying principles, many of those methods are based in some way or another on Green's theorem. The aim of this paper is to discuss a variety of imaging methods in a systematic way, using a specific form of Green's theorem (the homogeneous Green's function representation) as a common starting point. The imaging methods we cover are time-reversal acoustics, seismic interferometry, back propagation, source–receiver redatuming and imaging by double focusing. We review classical approaches and discuss recent developments that fully account for multiple scattering, using the Marchenko method. We briefly indicate new applications for monitoring and forecasting of responses to induced seismic sources, which are discussed in detail in a companion paper.

Download Full-text