Near Surface Characterization through Simultaneous Joint Inversion of Surface Waves and Refracted Waves

Glushchenko, A.; El-Emam, Adel; Zahran, W.; Re, Simone; Strobbia, Claudio; Stefano, M. De

doi:10.3997/2214-4609.20148393

Cited by 5 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The extension to 2D/3D dataset was proposed by Re [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] .…”

Section: Joint Inversion Of Surface and Body Wavesmentioning

confidence: 99%

P- and S-wave velocity model estimation from surface wave data

Socco¹

2016

Proceedings of the 7th International Conference on Environment and Engineering Geophysics &Amp; Summit Forum of Chinese Academy

View full text Add to dashboard Cite

Abstract-Surface wave analysis performed on data acquired on purpose or extracted from seismic gathers acquired for body wave surveying is a powerful tool for S-wave velocity model estimation. S-wave velocity is relevant for many engineering applications, but the recent application for hydrocarbon exploration data processing (static corrections) makes the estimation of P-wave velocity a desired additional target of the method. Several approaches ranging from joint inversion to approximated direct estimation have been implemented in recent here and are here reviewed. These approaches, applied here on synthetic 1D examples have been also extended to 2D real world applications.

show abstract

“…The extension to 2D/3D dataset was proposed by Re [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] .…”

Section: Joint Inversion Of Surface and Body Wavesmentioning

confidence: 99%

P- and S-wave velocity model estimation from surface wave data

Socco¹

2016

Proceedings of the 7th International Conference on Environment and Engineering Geophysics &Amp; Summit Forum of Chinese Academy

View full text Add to dashboard Cite

show abstract

“…This algorithm minimizes an objective function that takes into account the experimental measurements, the minimum-structure model, an empirical law linking V S and V P , and a geometrical constraint encouraging structural similarity between the two domains (De Stefano et al, 2011;Glushchenko et al, 2012). In the method described by Re et al (2010), the subsurface domain is discretized by means of variable grid cells according to the resolution of the two different techniques.…”

Section: Introductionmentioning

confidence: 99%

Joint inversion of Rayleigh-wave dispersion and P-wave refraction data for laterally varying layered models

Boiero

Socco

2014

GEOPHYSICS

View full text Add to dashboard Cite

We implemented a joint inversion method to build P-and S-wave velocity models from Rayleigh-wave and P-wave refraction data, specifically designed to deal with laterally varying layered environments. A priori information available over the site and any physical law to link model parameters can be also incorporated. We tested and applied the algorithm behind the method. The results from a field data set revealed advantages with respect to individual surface-wave analysis (SWA) and body wave tomography (BWT). The algorithm imposed internal consistency for all the model parameters relaxing the required a priori assumptions (i.e., Poisson's ratio level of confidence in SWA) and the inherent limitations of the two methods (i.e., velocity decreases for BWT).

show abstract