Multisource least-squares reverse-time migration with structure-oriented filtering
Fan Jing-Wen1,2, Li Zhen-Chun1,2, Zhang Kai1,2, Zhang Min1,2, and Liu Xue-Tong3
1. School of Geosciences, China University of Petroleum, Qingdao 266580, China.
2. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China.
3. CNOOC China Limited, Tianjin Branch, Tianjin 300452, China.
Abstract The technology of simultaneous-source acquisition of seismic data excited by several sources can significantly improve the data collection efficiency. However, direct imaging of simultaneous-source data or blended data may introduce crosstalk noise and affect the imaging quality. To address this problem, we introduce a structure-oriented filtering operator as preconditioner into the multisource least-squares reverse-time migration (LSRTM). The structure-oriented filtering operator is a nonstationary filter along structural trends that suppresses crosstalk noise while maintaining structural information. The proposed method uses the conjugate-gradient method to minimize the mismatch between predicted and observed data, while effectively attenuating the interference noise caused by exciting several sources simultaneously. Numerical experiments using synthetic data suggest that the proposed method can suppress the crosstalk noise and produce highly accurate images.
Baysal, E., Kosloff, D. D., and Sherwood, J. W. C., 1983, Reverse-time migration: Geophysics, 48, 1514−1524.
[2]
Beasley, C. J., 2008, A new look at marine simultaneous sources: The Leading Edge, 27, 914−917.
[3]
Berkhout, A. J., 2008, Changing the mindset in seismic data acquisition: The Leading Edge, 27, 924−938.
[4]
Beylkin, G., 1985, Imaging of discontinuities in the inverse scattering problem by inversion of a generalize Radon transform: Journal of Mathematical Physics, 26, 99−108.
[5]
Casasanta, L., Xue, Z., and Gray, S. H., 2015, Converted wave RTM using lowrank wavefield extrapolation: 77th Annual International Meeting, EAGE, Extended Abstracts, N116.
[6]
Cheng, C. L., 2015, Key technique and application of structure oriented filter for seismic wave field: PhD Thesis, Jilin University.
[7]
Dai, W., Fowler, P., and Schuster, G. T., 2012, Multi-source least-squares reverse time migration: Geophysical Prospecting, 60, 681−695.
[8]
Dai, W., and Schuster, G. T., 2009, Least-squares migration of simultaneous data with a deblurring filter: 79th Annual International Meeting, SEG, Expanded Abstracts, 2990-2994.
[9]
Dai, W., and Schuster, G. T., 2013, Plane-wave least-squares reverse time migration: Geophysics, 78(4), S165−S177.
Fomel, S., 2010, Predictive painting of 3D seismic volumes: Geophysics, 75(4), A25−A30.
[13]
Hou, J., and Symes, W. W., 2015, Accelerating extended least-squares migration with weighted conjugate gradient iteration: 85th Annual International Meeting, SEG, Expanded Abstracts, 4243-4248.
[14]
Huang, J. P., Li, C., Li, Q. Y., et al., 2015, Least-squares reverse time migration with static plane-wave encoding:Chinese J. Geophys. (in Chinese), 58(6), 2046−2056.
[15]
Huang, J. P., Xue, Z. G., Bu, C. C., et al., 2014, The study of least-squares migration method based on split-step DSR: Journal of Jilin University, Earth Science Edition, 44(1), 369−374.
[16]
Huang, Y., and Schuster, G. T., 2012, Multisource least-squares migration of marine streamer data with frequency-division encoding: Geophysical Prospecting, 60, 663-680.
[17]
Kuehl, H., and Sacchi, M. D., 2003, Least-squares wave-equation migration for AVP/AVA inversion: Geophysics, 68, 262-273.
[18]
Lailly, P., 1983, The seismic inverse problem as a sequence of before stack migrations: Conference on Inverse Scattering: Theory and Application, Society for Industrial and Applied Mathematics, Philadelphia, PA, 15(2), 206−220.
[19]
Lambare, G., Virieus, J., Madariaga, R., et al., 1992, Iterative Asymptotic Inversion in the Acoustic Approximation: Geophysics, 57, 1138−1154.
[20]
Li, Z. C., Guo, Z. B., and Tian, K., 2014, Least-squares reverse time migration in visco-acoustic medium: Chinese J. Geophys. (in Chinese), 57(1), 214−228.
[21]
Liu, Y., Fomel, S., and Liu, G., 2010, Nonlinear structure-enhancing filtering using plane-wave prediction: Geophysical Prospecting, 58, 415-427.
[22]
Liu, Y. J., Li, Z. C., Wu, D., et al., 2013a, The research on local slope constrained least-squares migration: Chinese J. Geophys. (in Chinese), 56(3), 1003−1011.
[23]
Liu, Y, J., Symes, W. W., and Li, Z. C., 2013b, Multisource least-squares extended reverse time migration with preconditioning guided gradient method: 83rd Annual International Meeting, SEG, Expanded Abstracts, 3709−3715.
[24]
Liu, Y. S., Teng, J. W., Xu, T., et al., 2016, An efficient step-length formula for correlative least-squares reverse time migration: Geophysics, 81(4), S221−S238.
[25]
Liu, Y., Wang, D., Liu, C., et al., 2014, Structure-oriented filtering and fault detection based on nonstationary similarity: Chinese J. Geophys. (in Chinese), 57(4), 1177−1187.
[26]
Lu, X. T., Han, L. G., Zhang, P., et al., 2015, Direct migration method of multi-source blended data based on total variation: Chinese J. Geophys. (in Chinese), 58(9), 3335−3345.
[27]
McMechan, G. A., 1983, Migration by extrapolation of time-dependent boundary values: Geophysical Prospecting, 31(3), 413-420.
[28]
Nemeth, T., Wu, C., and Schuster, G.T., 1999, Least-squares migration of incomplete reflection data: Geophysics, 64(1), 208-221.
[29]
Romero, L. A., Ghiglia, D. C., Ober, C. C., and Morton, S. A., 2000, Phase encoding of shot records in prestack migration: Geophysics, 65, 426-436.
[30]
Schuster, G. T., Wang, X., Huang, Y., Dai, W., et al., 2011, Theory of multisource crosstalk reduction by phase-encoded statics: Geophysical Journal International, 184(3), 1289-1303.
[31]
Tang, Y., and Biondi, B., 2009, Least-squares migration inversion of blended data: 79th Annual International Meeting, SEG, Expanded Abstracts, 2859-2863.
[32]
Wang, J., Kuehl, H., and Sacchi, M. D., 2005, High-resolution wave-equation AVA imaging: Algorithm and tests with a data set from the Western Canadian Sedimentary Basin: Geophysics, 70(5), S91-S99.
[33]
Wang, J., and Sacchi, M. D., 2009, Structure constrained least-squares migration. 79th Annual International Meeting, SEG, Expanded Abstracts, 2763-2767.
[34]
Wang, H. C., Chen, S. C., Chen, G. X., et al., 2014. Migration methods for blended seismic data of multi-source: Chinese J. Geophys. (in Chinese), 57(3), 918−931.
[35]
Wang, H. C., Chen, S. C., Zhang, B., et al., 2013. Separation method for multi-source blended seismic data: Applied Geophysics, 10(3), 251−264.
[36]
Whitmore, N. D., 1983, Iterative depth migration by backward time propagation: 53rd Annual International Meeting, SEG, Expanded Abstracts, 382-385.
[37]
Xue, Z., Chen, Y., Fomel, S., et al., 2014, Imaging incomplete data and simultaneous-source data using least-squares reverse-time migration with shaping regularization: 84th Annual International Meeting, SEG, Expanded Abstracts, 3991-3996.
[38]
Xue, Z., Chen, Y., Fomel, S., et al, 2016, Seismic imaging of incomplete data and simultaneous-source data using least-squares reverse time migration with shaping regularization: Geophysics, 81(1), S11-S20.
[39]
Xue, Z., Fomel, S., and Sun, J., 2015, RTM interpolation using time-shift gathers: 85th Annual International Meeting, SEG, Expanded Abstracts, 2145-2148.
[40]
Zhang, Y., Duan, L., and Xie, Y., 2013, A stable and practical implementation of least-squares reverse time migration: 83rd Annual International Meeting, SEG, Expanded Abstracts, 3716−3720.
[41]
Zhang, Y., Sun, J., and Gray, S., 2007, Reverse-time migration: Amplitude and implementation issues: 77th Annual International Meeting, SEG, Expanded Abstracts, 2145-2148.
2016, Vol. 13 
