FINOSEIS: A new approach to offshore-building foundation soil analysis using high resolution reflection seismic and Scholte-wave dispersion analysis

Wilken, Dennis; Wölz, Susanne; Müller, Christof; Rabbel, Wolfgang

doi:10.1016/j.jappgeo.2008.11.003

Cited by 24 publications

(15 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In shallow waters the bottom reflection loss, caused by absorption and shear wave conversion, represents a dominating limitation to low frequency sonar performance. For construction works in water, geohazard assessment and geotechnical studies the rigidity of the seabed is an important parameter (Smith, 1986;Bryan & Stoll, 1988;Richardson et al, 1991;Stoll & Batista, 1994;, WILKEN et al, 2008Hovem et al, 1991). In some cases the S-wave speed and other geoacoustic properties can be acquired by in-situ measurement, or by taking samples of the bottom material with subsequent measurement in laboratories.…”

Section: Applications Of Interface Wavesmentioning

confidence: 99%

Interface Waves

Dong¹,

Jens²

2011

Waves in Fluids and Solids

View full text Add to dashboard Cite

Section: Applications Of Interface Wavesmentioning

confidence: 99%

Interface Waves

Dong¹,

Jens²

2011

Waves in Fluids and Solids

View full text Add to dashboard Cite

“…[1][2][3][4][5][6] In addition, shear-wave conversion can represent an important ocean loss mechanism which must be accounted for in propagation modeling and sonar performance. [5][6][7] Shear-wave information can be acquired by in situ measurement, or by taking samples of the bottom material with subsequent measurements in laboratories.…”

Section: Introductionmentioning

confidence: 99%

Estimation of seabed shear-wave velocity profiles using shear-wave source data

Dong

Nguyen

Duffaut

2013

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

This paper estimates seabed shear-wave velocity profiles and their uncertainties using interface-wave dispersion curves extracted from data generated by a shear-wave source. The shear-wave source generated a seismic signature over a frequency range between 2 and 60 Hz and was polarized in both in-line and cross-line orientations. Low-frequency Scholte- and Love-waves were recorded. Dispersion curves of the Scholte- and Love-waves for the fundamental mode and higher-order modes are extracted by three time-frequency analysis methods. Both the vertically and horizontally polarized shear-wave velocity profiles in the sediment are estimated by the Scholte- and Love-wave dispersion curves, respectively. A Bayesian approach is utilized for the inversion. Differential evolution, a global search algorithm is applied to estimate the most-probable shear-velocity models. Marginal posterior probability profiles are computed by Metropolis-Hastings sampling. The estimated vertically and horizontally polarized shear-wave velocity profiles fit well with the core and in situ measurements.

show abstract

“…As the source is moved along the profile, we obtain an offset‐time common receiver gather (CRG). In 2006 May we performed a profile in the North Sea (54°11.7′N, 7°9.5′E) as part of an offshore foundation soil analysis (Wilken et al 2009). A second profile was completed in the Baltic Sea at the ‘Adlergrund’‐area (54°34.5′N, 14°10.4′E) in 2008 June.…”

Section: Data Examplesmentioning

confidence: 99%

On the application of Particle Swarm Optimization strategies on Scholte-wave inversion

Wilken¹,

Rabbel²

2012

Geophysical Journal International

View full text Add to dashboard Cite

SUMMARY We investigate different aspects concerning the application of swarm intelligence optimization to the inversion of Scholte‐wave phase‐slowness frequency (p–f) spectra with respect to shear wave velocity structure. Besides human influence due to the dependence on a priori information for starting models and interpretation of p–f spectra as well as noise, the model resolution of the inversion problem is strongly influenced by the multimodality of the misfit function. We thus tested the efficiency of global, stochastic optimization approaches with focus on swarm intelligence methods that can explore the multiple minima of the misfit function. A comparison among different PSO schemes by applying them to synthetic Scholte‐wave spectra led to a hybrid of Particle Swarm Optimization and Downhill Simplex providing the best resolution of inverted shear wave velocity depth models. The results showed a very low spread of best fitting solutions of 7 per cent in shear wave velocity and an average of 9 per cent for noisy synthetic data and a very good fit to the true synthetic model used for computation of the input data. To classify this method we also compared the probability of finding a good fit in synthetic spectra inversion with that of Evolutionary Algorithm, Simulated Annealing, Neighbourhood Algorithm and Artificial Bee Colony algorithm. Again the hybrid optimization scheme showed its predominance. The usage of stochastic algorithms furthermore allowed a new way of misfit definition in terms of dispersion curve slowness residuals making the inversion scheme independent on Scholte‐wave mode identification and allowing joint inversion of fundamental mode and higher mode information. Finally we used the hybrid optimization scheme and the misfit calculation for the inversion of 2‐D shear wave velocity profiles from two locations in the North‐ and Baltic Sea. The models show acceptable resolution and a very good structural correlation to high resolution reflection seismic data.

show abstract

FINOSEIS: A new approach to offshore-building foundation soil analysis using high resolution reflection seismic and Scholte-wave dispersion analysis

Cited by 24 publications

References 13 publications

Interface Waves

Interface Waves

Estimation of seabed shear-wave velocity profiles using shear-wave source data

On the application of Particle Swarm Optimization strategies on Scholte-wave inversion

Contact Info

Product

Resources

About