Improve Q estimates with spectrum correction based on seismic wavelet estimation
Tu Ning1 and Lu Wen-kai1
1. State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing 100084, China.
Abstract Characterization of seismic attenuation, quantified by Q, is desirable for seismic processing and interpretation. For seismic reflection data, the coupling between seismic wavelets and the reflectivity sequences hinders their usage for Q estimation. Removing the influence of the reflectivity sequences in reflection data is called spectrum correction. In this paper, we propose a spectrum correction method for Q estimation based on wavelet estimation and then design an inverse Q filter. The method uses higher-order statistics of reflection seismic data for wavelet estimation, the estimated wavelet is then used for spectral correction. Two Q estimation methods are used here, namely the spectral-ratio and centroid frequency shift methods. We test the characteristics of both Q estimation methods under different parameters through a synthetic data experiment. Synthetic and real data examples have shown that reliable Q estimates can be obtained after spectrum correction; moreover, high frequency components are effectively recovered after inverse Q filtering.
This work was supported by National 863 Program of China (Grant No. 2006AA09A101-0102).
Cite this article:
TU Ning,LU Wen-Kai. Improve Q estimates with spectrum correction based on seismic wavelet estimation[J]. APPLIED GEOPHYSICS, 2010, 7(3): 217-228.
[1]
Aldridge, D. F., 1990, The Berlage wavelet: Geophysics, 55, 1508 - 1511.
[2]
Amundsen, L., and Mittet, R., 1994, Estimation of phase velocities and Q-factors from zero-offset, vertical seismic profile data: Geophysics, 59, 500 - 517.
[3]
Dasgupta, R., and Clark, R. A., 1998, Estimation of Q from surface seismic reflection data: Geophysics, 63, 2120 - 2128.
[4]
Hackert, C. L., and Parra, J. O., 2004, Improving Q estimates form seismic reflection data using well-log-based localized spectral correction: Geophysics, 69, 1521 - 1529.
[5]
Hargreaves, N. D., and Calvert, A. J., 1991, Inverse Q filtering by Fourier transform: Geophysics, 56, 519 - 527.
[6]
Hauge, P. S., 1981, Measurements of attenuation from vertical seismic profiles: Geophysics, 46, 1548 - 1558.
[7]
Kormylo, J. J., and Mendel, J. M., 1982, Maximum likelihood detection and estimation of Bernoulli-Gaussian processes: IEEE Transactions on Information Theory, IT - 28, 482 - 488.
[8]
Korneev, V. A., Goloshubin, G. M., Daley, T. M., and Silin, D. B., 2004, Seismic low-frequency effects in monitoring fluid-saturated reservoirs: Geophysics, 69, 522 - 532.
[9]
Li, H., Zhao, W., Cao, H., Yao, F., and Shao, L., 2006, Measures of scale based on the wavelet scalogram with applications to seismic attenuation: Geophysics, 71(5), V111 - V118.
[10]
Lu, W., Zhang, Y., Zhang, S., and Xiao, H., 2007, Blind wavelet estimation using a zero-lag slice of the fourth-order statistics: Journal of Geophysics and Engineering, 4, 24 - 30.
[11]
Pinson, L. J. W., Henstock, T. J., Dix, J. K., and Bull, J. M., 2008, Estimating quality factor and mean grain size of sediments from high-resolution marine seismic data: Geophysics, 73(4), G19 - G28.
[12]
Quan, Y., and Harris, J. M., 1997, Seismic attenuation tomography using the frequency shift method: Geophysics, 62, 895 - 905.
[13]
Stainsby, S. D., and Worthington, M. H., 1985, Estimation from vertical seismic profile data and anomalous variations in the North Sea: Geophysics, 50, 615 - 626.
[14]
Stockwell, R. G., Mansinha, L., and Lowe, R. P., 1996, Localization of the complex spectrum: The S transform: IEEE Transactions on Signal Processing, 44, 998 - 1001.
[15]
Sun, X., Tang, X., Cheng, C. H., and Frazer, L. N., 2000, P- and S-wave attenuation logs from monopole sonic data: Geophysics, 65, 755 - 765.
[16]
Varela, C. L., Rosa, A. L. R., and Ulrych, T. J., 1993, Modeling of attenuation and dispersion: Geophysics, 58, 1167 - 1173.
[17]
Wang, Y., 2004, Q analysis on reflection seismic data: Geophysical Research Letters, 31, L17606.
[18]
White, R. E., 1992, The accuracy of estimating Q from seismic data: Geophysics, 57, 1508 - 1511.
[19]
Zhang, C., and Ulrych, T. J., 2002, Estimation of quality factors from CMP records: Geophysics, 67, 1542 - 1547.
Wang Zong-Jun, Cao Si-Yuan, Zhang Hao-Ran, Qu Ying-Ming, Yuan Dian, Yang Jin-Hao, Zhang De-Long, Shao Guan-Ming. Estimation of quality factors by energy ratio method[J]. APPLIED GEOPHYSICS, 2015, 12(1): 86-92.
2010, Vol. 7 
