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Adaptive iterative deblending of simultaneous source seismic data based on sparse inversion

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Języki publikacji
EN
Abstrakty
EN
Deblending of simultaneous-source seismic data is becoming more popular in seismic exploration since it can greatly improve the efciency of seismic acquisition and reduce acquisition cost. At present, the deblending methods of simultaneous-source seismic data are mainly divided into two types: fltering method and sparse inversion method. Compared with the fltering method, the sparse inversion method has higher precision, but the selection of its parameter value mainly depends on experience, which is not suitable for large-scale seismic data processing. In this paper, an adaptive iterative deblending method based on sparse inversion is proposed. By improving the original iterative solution method of regularization inversion model, the efective signal and blending noise are weakened simultaneously in the iterative process, so that the energy intensity of blending noise is consistent with that of the efective signal in each iterative, so as to ensure the consistency of the regular parameter calculation method of each iteration. By analyzing the distribution of coefcients in the curvelet domain of pseudo-deblending data and blending noise, it is concluded that the value of regular parameters is the maximum amplitude of residual pseudo-deblending data in the curvelet domain multiplied by a coefcient between 0 and 1. In the process of iterative deblending, the regularized parameters are obtained adaptively from the data itself. It not only ensures the accuracy of the calculation results, but also improves the calculation efciency, which is suitable for large-scale seismic data processing.
Czasopismo
Rocznik
Strony
497--507
Opis fizyczny
Bibliogr. 29 poz.
Twórcy
autor
  • Hebei Key Laboratory of Strategic Critical Mineral Resources, Hebei GEO University, Shijiazhuang 050031, China
autor
  • Hebei Key Laboratory of Strategic Critical Mineral Resources, Hebei GEO University, Shijiazhuang 050031, China
  • CNOOC Research Institute Co., Ltd, Beijing 100028, China
autor
  • Hebei Key Laboratory of Strategic Critical Mineral Resources, Hebei GEO University, Shijiazhuang 050031, China
autor
  • Hebei Key Laboratory of Strategic Critical Mineral Resources, Hebei GEO University, Shijiazhuang 050031, China
Bibliografia
  • 1. Akerberg P, Hampson G, Rickett J, Martin H, Cole J (2008) Simultaneous source separation by sparse Radon transform. In: 78th annual international meeting, SEG, expanded abstracts, 2801–2805
  • 2. Ayeni G, Almomin A, Nichols D (2011) On the separation of simultaneous-source data by inversion. In: 81th annual international meeting, SEG, expanded abstracts, 20–25
  • 3. Bagaini C, Daly M, Moore I (2012) The acquisition and processing of dithered slip-sweep vibroseis data[J]. Geophys Prospect 60(4):618–639
  • 4. Beasley CJ, Dragoset B, Salama A (2012) A 3D simultaneous source field test processed using alternating projections: a new active separation method[J]. Geophys Prospect 60(4):591–601
  • 5. Berkhout AJ (2008) Changing the mindset in seismic data acquisition. Lead Edge 27:924–938
  • 6. Candes E, Demanet L, Donoho D, Ying L (2006) Fast discrete curvelet transforms[J]. SIAM J Multiscale Model Simul 5:861–899
  • 7. Cao J, Wang Y (2014) Seismic data restoration with A fast L1 norm trust region method. J Geophys Eng 11:045010
  • 8. Cao J, Zhao J, Hu Z (2015) 3D seismic denoising based on A low-redundancy curvelet transform[J]. J Geophys Eng 12:566–576
  • 9. Cao J, Wang S, Liang W (2019) Simultaneous interpolation and denoising based on a modified thresholding method[J]. Stud Geophys Geod 63:569–583
  • 10. Cao J, Cai Z, Liang W (2020) A novel thresholding method for simultaneous seismic data reconstruction and denoising[J]. J Appl Geophys 177:104027
  • 11. Chen H, Cao S, Yuan S et al (2017) Robust iterative deblending of simultaneous-source data. In: 87th annual international meeting, SEG, expanded abstracts, 4893–4897
  • 12. Chen H, Cao S, Zu S et al (2018) Iterative deblending using POCS algorithm in the approximate flattened domain[J]. J Geophys Eng 4:1104–1119
  • 13. Chen Y, Fomel S, Hu J (2014) Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization[J]. Geophysics 79(5):V179–V189
  • 14. Doulgeris P, Mahdad A, Blacquière G (2011) Separation of blended data by iterative estimation and subtraction of blending interference noise[J]. Geophysics 76(3):Q9–Q17
  • 15. Hampson G, Stefani J, Herkenhoff F (2008) Acquisition using simultaneous sources[J]. Lead Edge 27(7):2816–2820
  • 16. Kim Y, Gruzinov I, Guo M et al (2009) Source separation of simultaneous source OBC data[J]. Seg Tech Progr Expand Abstr 28(1):51–54
  • 17. Lin TTY, Herrmann FJ (2009) Designing simultaneous acquisitions with compressive sensing[C]// Eage Conference and Exhibition Incorporating Spe Europec. 2009:584–589.
  • 18. Liu Q, Han LG, Hong-Jian LI (2014) Synchronous interpolation and denoising in simultaneous-source data separation[J]. Chin J Geophys 57(5):1647–1654
  • 19. Liu Q (2016) Research on deblending and its application to marine simultaneous source data[D]. Jilin University, China
  • 20. Mahdad A, Doulgeris P, Blacquière G (2012) Iterative method for the separation of blended seismic data: discussion on the algorithmic aspects. Geophys Prospect 60(4):782–801
  • 21. Moore I, Dragoset B, Ommundsen T, Wilson D, Ward C, Eke D (2008) Simultaneous source separation using dithered sources. In: 78th annual international meeting, SEG, expanded abstracts, 2806–2810
  • 22. Moore I (2010) Simultaneous sources - Processing and applications. In: 72th EAGE conference and exhibition, extended abstracts, B001
  • 23. Song JW, Li PM, Wang WC et al (2019) High-productivity blended acquired data separation by sparse inversion[J]. Oil Geophys Prospect 54(2):268–273
  • 24. Tan CQ (2013) Research on the high fidelity deblending of multi-source blended seismic acquisition wavefield[D]. Jilin University, China
  • 25. Wei YJ, Han LG, Shan GY et al (2018) Separation of mixed source seismic data based on the impulse detection. Chin J Chin J Geophys 61(3):1157–1168
  • 26. Wei YJ, Zhang P, Xu Z (2019) Separation of 3D blending seismic data based on sparse constrained inversion. Chin J. Chin J Geophys 62(10):4000–4009
  • 27. Zhang XN, Han LG, Liu Q et al (2017) Research on method of wave-fields separation for 3D multi-source blended acquisition data[J]. Sci Technol Eng 17(5):147–151
  • 28. Zhou Y, Han C, Chi Y (2018) Deblending of simultaneous-source data using iterative seislet frame thresholding based on a robust slope estimation[J]. J Appl Geophys 153(6):17–37
  • 29. Zu S, Zhou H, Chen Y et al (2016) A periodically varying code for improving deblending of simultaneous sources in marine acquisition[J]. Geophysics 81(3):V213–V225
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bb1702fe-d4ad-4483-856b-1d37f748e156
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