Abstract
A signal extraction method is developed based on a prior knowledge on the propagation of seismic signal. To explore underground velocity structure based on OBS (Ocean Bottom Seismogram), it is necessary to detect reflection and refraction waves from the data contaminated with relatively large direct wave and its multiples. In this paper, we consider methods based on the time series and spatial-temporal decompositions of the data. In spatial-temporal decomposition, the difference of the travel time (moveout) corresponding to underground layer structure is utilized. The proposed methods are exemplified with a real OBS data.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Akaike, H.: Golfswing motion analysis: An experiment on the use of verbal analysis in statistical reasoning, Annals of the Institute of Statistical Mathematics, 53, 1–10 (2001).
Anderson, B.D.O. and Moore, J.B.: Optimal Filtering, New Jersey, Prentice-Hall (1979).
Berg, E., Amundsen, L., Morton, A., Mjelde, R., Shimamura, H., Shiobara, H., Kanazawa, T., Kodaira, S. and Fjekkanger, J.P., Three dimensional OBSdata prcessing for lithology and fluid prediction in the mid-Norway margin, NE Atlantic, Earth, Planet and Space, Vol. 53, No. 2, 75–90 (2001).
Kitagawa. G.: Monte Carlo filter and smoother for non-Gaussian nonlinear state space model, Journal of Computational and Graphical Statistics, 5, 1–25 (1996).
Kitagawa, G.: Self-organizing State Space Model, Journal of the American Statistical Association, 93, 1203–1215 (1998).
Kitagawa, G. and Gersch, W.: Smoothness Priors Analysis of Time Series, Lecture Notes in Statistics, No. 116, Springer-Verlag, New York (1996)
Kitagawa, G. and Higuchi, T.: Automatic transaction of signal via statistical modeling, The proceedings of The First Int. Conf. on Discovery Science, Springer-Verlag Lecture Notes in Artificial Intelligence Series, 375–386 (1998)
Kitagawa, G. and Takanami, T.: Extraction of signal by a time series model and screening out micro earthquakes, Signal Processing, 8, (1985) 303–314.
Kuwano, A.: Crustal structure of the passive continental margin, west of fSvalbard Islands, deduced from ocean bottom seismographic studies, Master’s Theses, Hokkaido University, (2000).
Shimamura, H.: OBS technical description, Cruise Report, Inst. of Solid Earth Physics Report, Univ. of Bergen, eds. Sellevoll, M.A., 72 (1988).
Stoffa, P. L. (ed.): Tau-p, A Plane Wave Approach to the Analysis of Seismic Data, Kluwer (1989).
Telford, W.M., Geldart, L.P., and Sheri., R.E., Applied Geophysics, Second dition, Cambridge University Press, Cambridge (1990).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Kitagawa, G., Takanami, T., Kuwano, A., Murai, Y., Shimamura, H. (2002). Extraction of Signal from High Dimensional Time Series: Analysis of Ocean Bottom Seismograph Data. In: Arikawa, S., Shinohara, A. (eds) Progress in Discovery Science. Lecture Notes in Computer Science(), vol 2281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45884-0_33
Download citation
DOI: https://doi.org/10.1007/3-540-45884-0_33
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43338-5
Online ISBN: 978-3-540-45884-5
eBook Packages: Springer Book Archive