Global optimisation by simulated annealing for common reflection surface stacking and its application to low-fold marine data in southwest Japan
Shohei Minato 1 4 Takeshi Tsuji 1 Toshifumi Matsuoka 1 Naoki Nishizaka 2 Michiharu Ikeda 3
+ Author Affiliations
- Author Affiliations
1 Kyoto University, Graduate School of Engineering, C1 Kyoto-Daigaku Katsura, Nishikyo-ku, Kyoto 6158540, Japan.
2 Shikoku Electric Power Co. Inc., Marunouchi 2-5, Takamatsu, Kagawa, 7608573, Japan.
3 Shikoku Research Institute Inc., Yashimanishimachi 2109, Takamatsu, Kagawa, 7610192, Japan.
4 Corresponding author. Email: s_minato@earth.kumst.kyoto-u.ac.jp
Exploration Geophysics 43(2) 59-69 https://doi.org/10.1071/EG12008
Submitted: 17 January 2012 Accepted: 21 January 2012 Published: 1 March 2012
Abstract
The common reflection surface (CRS) stack is an alternative method of producing a zero-offset stacked section with a higher signal-to-noise ratio (SNR) than the conventional normal moveout (NMO)/dip moveout (DMO) stack method. Since, however, it is difficult to determine global optimal parameters for the CRS stack method by the conventional three-step search method, especially for complex structures and low-fold data, we investigate the ability of simulated annealing (SA) to optimise our estimation of these parameters. We show a detailed but practical procedure for the application of SA to the CRS stack method. We applied the CRS stack method with SA to numerically modelled seismic reflection data, and to multichannel marine seismic data over complicated geological structures around the Median Tectonic Line (MTL) in Japan. We used the results of the conventional three-step search algorithm as the initial model for the SA search and showed that with this approach SA can estimate CRS parameters accurately within a reasonable number of calculations. The CRS stack method with this approach provided a clearer seismic profile with a higher SNR than either a conventional NMO stack method or a conventional CRS stack method.
Key words: common reflection surface, Median Tectonic Line, simulated annealing.
References
Baykulov, M., and Gajewski, D., 2009, Prestack seismic data enhancement with partial common-reflection-surface (CRS) stack: Geophysics, 74, V49–V58| Prestack seismic data enhancement with partial common-reflection-surface (CRS) stack:Crossref | GoogleScholarGoogle Scholar |
Bergler, S., Hubral, P., Marchetti, P., Cristini, A., and Cardone, G., 2002, 3D common-reflection-surface stack and kinematic wavefield attributes: The Leading Edge, 21, 1010–1015
| 3D common-reflection-surface stack and kinematic wavefield attributes:Crossref | GoogleScholarGoogle Scholar |
Bonomi, E., Cristini, A. M., Theis, D., and Marchetti, P., 2009, 3D CRS analysis: a data-driven optimization for the simultaneous estimate of the eight parameters: SEG Technical Program Expanded Abstracts, 28, 3284–3291
| 3D CRS analysis: a data-driven optimization for the simultaneous estimate of the eight parameters:Crossref | GoogleScholarGoogle Scholar |
Duveneck, E., 2004, Velocity model estimation with data-derived wavefront attributes: Geophysics, 69, 265–274
| Velocity model estimation with data-derived wavefront attributes:Crossref | GoogleScholarGoogle Scholar |
Garabito, G., Cruz, J., Hubral, P., and Costa, J., 2001, Common reflection surface stack: a new parameter search strategy by global optimization: SEG Technical Program Expanded Abstracts, 20, 2009–2012
| Common reflection surface stack: a new parameter search strategy by global optimization:Crossref | GoogleScholarGoogle Scholar |
Garabito, G., Cruz, J., Hubral, P., and Costa, J., 2006, Application of SA and VFSA global optimization algorithms for search of the 2-D CRS stacking parameters: Wave Inversion Technology Consortium Annual Report, 10, 24–31
Garabito, G., Cruz, J., and Lucena, L., 2009, 2D CRS stack: the use of the stacking velocity as an ‘a priori’ information in the optimization of CRS parameters: Wave Inversion Technology Consortium Annual Report, 13, 220–227
Gelchinsky, B., 1989, Homeomorphic imaging in processing and interpretation of seismic data (fundamentals and schemes): SEG Technical Program Expanded Abstracts, 8, 983–988
| Homeomorphic imaging in processing and interpretation of seismic data (fundamentals and schemes):Crossref | GoogleScholarGoogle Scholar |
Gelchinsky, B., Berkovitch, A., and Keydar, S., 1999, Multifocusing homeomorphic imaging: Part 1. Basic concepts and formulas: Journal of Applied Geophysics, 42, 229–242
| Multifocusing homeomorphic imaging: Part 1. Basic concepts and formulas:Crossref | GoogleScholarGoogle Scholar |
Höcht, G., de Bazelaire, E., Majer, P., and Hubral, P., 1999, Seismics and optics: hyperbolae and curvatures: Journal of Applied Geophysics, 42, 261–281
| Seismics and optics: hyperbolae and curvatures:Crossref | GoogleScholarGoogle Scholar |
Hubral, P., 1983, Computing true amplitude reflections in a laterally inhomogeneous earth: Geophysics, 48, 1051–1062
| Computing true amplitude reflections in a laterally inhomogeneous earth:Crossref | GoogleScholarGoogle Scholar |
Ingber, L., 1989, Very fast simulated re-annealing: Mathematical and Computer Modelling, 12, 967–973
| Very fast simulated re-annealing:Crossref | GoogleScholarGoogle Scholar |
Ito, T., Ikawa, T., Yamakita, S., and Maeda, T., 1996, Gently north-dipping Median Tectonic Line (MTL) revealed by recent seismic reflection studies, southwest Japan: Tectonophysics, 264, 51–63
| Gently north-dipping Median Tectonic Line (MTL) revealed by recent seismic reflection studies, southwest Japan:Crossref | GoogleScholarGoogle Scholar |
Ito, T., Kojima, Y., Kodaira, S., Sato, H., Kaneda, Y., Iwasaki, T., Kurashimo, E., Tsumura, N., Fujiwara, A., Miyauchi, T., Hirata, N., Harder, S., Miller, K., Murata, A., Yamakita, S., Onishi, M., Abe, S., Sato, T., and Ikawa, T., 2009, Crustal structure of southwest Japan, revealed by the integrated seismic experiment Southwest Japan 2002: Tectonophysics, 472, 124–134
| Crustal structure of southwest Japan, revealed by the integrated seismic experiment Southwest Japan 2002:Crossref | GoogleScholarGoogle Scholar |
Jäger, R., 1999, The common reflection surface stack - theory and application, Master’ thesis, University of Karlsruhe.
Jäger, R., Mann, J., Höcht, G., and Hubral, P., 2001, Common-reflection-surface stack: image and attributes: Geophysics, 66, 97–109
| Common-reflection-surface stack: image and attributes:Crossref | GoogleScholarGoogle Scholar |
Kamata, H., and Kodama, K., 1999, Volcanic history and tectonics of the Southwest Japan Arc: The Island Arc, 8, 393–403
| Volcanic history and tectonics of the Southwest Japan Arc:Crossref | GoogleScholarGoogle Scholar |
Kawamura, T., Onishi, M., Kurashimo, E., Ikawa, T., and Ito, T., 2003, Deep seismic reflection experiment using a dense receiver and sparse shot technique for imaging the deep structure of the Median Tectonic Line (MTL) in east Shikoku, Japan: Earth, Planets, and Space, 55, 549–557
Kirkpatrick, S., Gelatt, C., and Vecchi, M., 1983, Optimization by simulated annealing: Science, 220, 671–680
| Optimization by simulated annealing:Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3cvktFWjtw%3D%3D&md5=63b5c8598697c2d9441cd75e330814e5CAS |
Mann, J., 2002, Extensions and applications of the common-reflection-surface stack method, PhD thesis, University of Karlsruhe.
Menyoli, E., Gajewski, D., and Hübscher, C., 2004, Imaging of complex basin structures with the common reflection surface (CRS) stack method: Geophysical Journal International, 157, 1206–1216
| Imaging of complex basin structures with the common reflection surface (CRS) stack method:Crossref | GoogleScholarGoogle Scholar |
Müller, T., 1999, The common reflection surface stack method: seismic imaging without explicit knowledge of the velocity model, PhD thesis, University of Karlsruhe.
Müller, N., 2003, The 3D common-reflection-surface stack: theory and application, PhD thesis, University of Karlsruhe.
Müller, N., 2009, Treatment of conflicting dips in the 3D common-reflection-surface stack: Geophysical Prospecting, 57, 981–995
| Treatment of conflicting dips in the 3D common-reflection-surface stack:Crossref | GoogleScholarGoogle Scholar |
Neidell, N. S., and Taner, M. T., 1971, Semblance and other coherency measures for multichannel data: Geophysics, 36, 482–497
| Semblance and other coherency measures for multichannel data:Crossref | GoogleScholarGoogle Scholar |
Nelder, J. A., and Mead, R., 1965, A simplex method for function minimization: The Computer Journal, 7, 308–313
Rothman, D. H., 1985, Nonlinear inversion, statistical mechanics, and residual statics estimation: Geophysics, 50, 2784–2796
| Nonlinear inversion, statistical mechanics, and residual statics estimation:Crossref | GoogleScholarGoogle Scholar |
Sen, M. K., and Stoffa, P. L., 1995, Global optimization method in geophysical inversion: Elsevier Science B. V.
Thore, P. D., de Bazelaire, E., and Rays, M. P., 1994, The three-parameter equation: an efficient tool to enhance the stack: Geophysics, 59, 297–308
| The three-parameter equation: an efficient tool to enhance the stack:Crossref | GoogleScholarGoogle Scholar |
Trappe, H., Gierse, G., and Pruessmann, J., 2001, Case studies show potential of common reflection surface stack: structural resolution in the time domain beyond the conventional NMO/DMO stack. Special topic: seismic processing: First Break, 19, 625–633
Velis, D. R., and Ulrych, T. J., 1996, Simulated annealing wavelet estimation via fourth-order cumulant matching: Geophysics, 61, 1939–1948
| Simulated annealing wavelet estimation via fourth-order cumulant matching:Crossref | GoogleScholarGoogle Scholar |
Wallis, S., 1998, Exhuming the Sanbagawa metamorphic belt: the importance of tectonic discontinuities: Journal of Metamorphic Geology, 16, 83–95
| Exhuming the Sanbagawa metamorphic belt: the importance of tectonic discontinuities:Crossref | GoogleScholarGoogle Scholar |
Yoon, M., Baykulov, M., Dümmong, S., Brink, H., and Gajewski, D., 2009, Reprocessing of deep seismic reflection data from the North German Basin with the Common Reflection Surface stack: Tectonophysics, 472, 273–283
| Reprocessing of deep seismic reflection data from the North German Basin with the Common Reflection Surface stack:Crossref | GoogleScholarGoogle Scholar |