岩性油气藏 ›› 2025, Vol. 37 ›› Issue (4): 38–49.doi: 10.12108/yxyqc.20250404

• 地质勘探 • 上一篇    

地震分频多级稀疏正则化反演方法——以渤中凹陷石臼坨凸起古近系东营组二段为例

王剑1, 吴亚宁2, 王涛1, 贾万丽1, 包一凡2, 刘立峰2   

  1. 1. 中海石油（中国）有限公司北京研究中心 勘探开发研究院, 北京 100028;
    2. 中国石油大学（北京）地球物理学院, 北京 102249
  • 收稿日期:2024-10-29 修回日期:2025-04-23 发布日期:2025-07-05
  • 第一作者:王剑（1978-），男，博士，工程师，主要从事储层预测与油气勘探研究工作。地址：（100028）北京市朝阳区中海油研究总院有限责任公司勘探开发研究院。Email：intosnow@163.com。
  • 通信作者: 刘立峰（1979-），男，博士，副教授，主要从事高分辨率反演与复杂储层预测研究。Email：liulifeng@cup.edu.cn。
  • 基金资助:
    国家自然科学基金“致密砂岩脆性影响因素及多参量-多尺度脆性综合评价研究”（编号：42274140）资助。

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

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摘要： 常规地震反演技术对井网密度小、单层厚度小及非均质性强的储层预测精度低。基于匹配追踪与Wigner-Ville分布时频方法、稀疏理论及贝叶斯理论，提出了一种基于地震分频的多级稀疏正则化反演方法，进行了模型数据测试，并在渤中凹陷石臼坨凸起古近系东营组二段储层预测中进行了实际应用。研究结果表明：①地震分频多级稀疏正则化反演主要思路为利用匹配追踪-Wigner-Ville分布技术（MP-WVD）将地震信号分解为大、中、小3个尺度的频段；采用贝叶斯理论构建多尺度稀疏反演目标函数，将L2，L1，L0范数约束项分别作用于大、中、小尺度反演过程，以大尺度反演结果为中尺度反演的先验约束，以中尺度反演结果为小尺度反演的先验约束，最终反演结果为小尺度反演的结果。②模型数据测试结果表明，MP-WVD时频谱比连续小波变换时频谱、S变换时频谱的能量集中性更强，时间和频率方向的分辨率均更高，且有效克服了WVD变换时频谱交叉项干扰的问题。③地震分频多级稀疏正则化反演在渤中凹陷石臼坨凸起古近系东营组二段储层波的应用结果显示，纵波阻抗反演结果与测井声波阻抗曲线吻合度较高，比稀疏脉冲反演结果的分辨率更高，较高的纵向分辨率对薄层刻画更准确。

关键词: 多尺度地震信号, 匹配追踪-Wigner-Ville分布, 稀疏正则化, 贝叶斯理论, 波阻抗, 薄储层刻画；东营组, 渤中凹陷

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

中图分类号: 

  • :P631
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