Lithologic Reservoirs ›› 2025, Vol. 37 ›› Issue (4): 38-49.doi: 10.12108/yxyqc.20250404

• PETROLEUM EXPLORATION • Previous Articles    

Multi-level sparse regularization inversion method for seismic frequency division: A case study from the second member of Paleogene Dongying Formation in Shijiutuo Uplift,Bozhong Sag

WANG Jian1, WU Yaning2, WANG Tao1, JIA Wanli1, BAO Yifan2, LIU Lifeng2   

  1. 1. Exploration and Development Research Institute, Beijing Research Center, CNOOC (China) Ltd., Beijing 100028, China;
    2. School of Geophysics, China University of Petroleum (Beijing), Beijing 102249, China
  • Received:2024-10-29 Revised:2025-04-23 Published:2025-07-05

Abstract: Conventional inversion techniques yield low prediction accuracy for reservoirs with low well density, thin single-layer thickness,and strong heterogeneity. A multi-level sparse regularization inversion method based on seismic frequency division was proposed using matching pursuit and Wigner-Ville distribution time-frequency methods,sparse theory,and Bayesian theory. The model data was tested and the inversion method was applied in the reservoir prediction of the second member of Dongying Formation in Shijiutuo Uplift of Bozhong Sag.The results show that: (1)The main idea of seismic frequency division multi-level sparse regularization inversion is to use the Matching Persuit Wigner-Ville distribution technique(MP-WVD)to decompose seismic signals into large,medium,and small scale frequency bands. Based on that,Bayesian theory is employed to construct a multi-scale sparse inversion objective function,applying L2,L1,and L0 norm constraints to the large,medium,and small scale inversion processes,respectively.A hierarchical iterative strategy is adopted: the largescale inversion results as prior constraints for the medium-scale inversion,and then the medium-scale inversion results as prior constraints for the small-scale inversion,with the final inversion result derived from the smallscale inversion.(2)The model data testing results show that: MP-WVD time-frequency spectrum exhibits stronger energy concentration than continuous wavelet transform(CWT)and S-transform time-frequency spectra, with higher resolution in both time and frequency directions,effectively overcoming the cross-term interference issue present in the WVD transform.(3)The application of seismic frequency division multi-level sparse regularization inversion in the reservoir waves of the second member of Paleogene Dongying Formation in Shijutuo Uplift of Bozhong Sag shows that: the results of the P-wave impedance inversion are in good agreement with the sonic log-derived acoustic impedance. It also provides higher resolution than the sparse pulse inversion results, with superior vertical resolution, offering more accurate characterization of thin layers.

Key words: multi-scale seismic signals, Matching Pursuit-Wigner-Ville distribution, sparse regularization, Bayesian theory;wave impedance, thin reservoir characterization, Dongying Formation, Bozhong Sag

CLC Number: 

  • :P631
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