Journal of Jilin University(Earth Science Edition) ›› 2021, Vol. 51 ›› Issue (6): 1890-1896.doi: 10.13278/j.cnki.jjuese.20200225

Previous Articles     Next Articles

Surface Wave Attenuation Method Using Forward Modeling

Zhang Zhili1, Han Fuxing2, Sun Wenyan1, Wang Yi1, Yang Anqi1, Jiao Yanyan1, Xue Shigui1   

  1. 1. SINOPEC Geophysical Research Institute, Nanjing 211103, China;
    2. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China
  • Received:2020-09-20 Online:2021-11-26 Published:2021-11-24
  • Supported by:
    Supported by the National Natural Science Foundation of China (42074150), the National Key R & D Project (2017YFC0601305), the Joint Fund for Enterprise Innovation and Development of National Natural Science Foundation of China (U19B6003-04-01) and the Major National Science and Technology Project (2016ZX05014-001-001)

PDF (PC)

275

Abstract: Rayleigh wave is a P-SV surface wave distributed near the free surface. It has the characteristics of strong amplitude, low frequency and dispersion, and is commonly used in engineering geophysical exploration. However, in oil and gas exploration and deep exploration, it is often a kind of ‘interference’ waves that affects the signal-to-noise ratio of seismic data. Therefore, denoising processing is required. The authors combine engineering geophysical prospecting methods with oil geophysical exploration technologies to obtain a high precision near-surface model by surface wave dispersion curve inversion, and then, carry out the forward modeling of surface wave on the basis of the three-dimensional near-surface shear wave velocity model. The surface wave is subtracted by the method of model matching subtraction. By this method, the influence of surface wave can be minimized, and the shortcomings of the conventional surface wave attenuation methods can be avoided to certain extent, such as damaging the effective wave, losing low-frequency weak information, narrowing the effective frequency band of data, and negatively affecting seismic structure interpretation and inversion. The effectiveness of this method has been verified by practical applications.

Key words: surface wave, dispersion curve, inversion, forward

CLC Number: 

  • P631.4
[1] 金旭, 傅维洲. 固体地球物理学基础[M]. 长春:吉林大学出版社, 2003. Jin Xu, Fu Weizhou. Fundamentals of Solid Geophysics[M]. Changchun:Jilin University Press, 2003.
[2] 杨兆斌, 张铭记, 贾正虹. 时频-炮检距域面波衰减方法及应用[J]. 物探化探计算技术, 2011, 33(1):30-35. Yang Zhaobin, Zhang Mingji, Jia Zhenghong. Time-Frequency and Offset Domain Surface Wave Attenuation Method and Its Application[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2011, 33(1):30-35.
[3] 李正文, 贺振华. 勘查技术工程学[M]. 北京:地质出版社, 2003. Li Zhengwen, He Zhenhua. Exploration Technology Engineering[M]. Beijing:Geological Publishing House, 2003.
[4] 李彦星. 基阶和高阶瑞雷波频散曲线反演对比分析[J]. 中国煤炭地质, 2010, 22(5):56-58. Li Yanxing. Comparative Analysis of Fundamental and Higher Order Rayleigh Wave Dispersion Curve Inversion[J]. Coal Geology of China, 2010, 22(5):56-58.
[5] 魏继祖, 丁彦礼, 单娜琳,等. 多阶模态瑞利面波频散曲线的BP神经网络反演[J]. 工程地球物理学报, 2012, 9(6):646-653. Wei Jizu. Ding Yanli, Shan Nalin, et al. BP Neural Network Inversion of Multi-Modal Rayleigh Surface Wave Dispersion Curve[J]. Chinese Journal of Engineering Geophysics, 2012, 9(6):646-653.
[6] 李唐律. 浅海地震资料自由表面多次波压制方法研究[D]. 青岛:中国海洋大学, 2014. Li Tanglü. Free Surface Multiple Suppression Method for Shallow Sea Seismic Data[D]. Qingdao:Ocean University of China, 2014.
[7] 李子伟. 瑞利波频散成像方法的实现及成像效果对比研究[J]. 物探化探计算技术, 2015, 37(2):208-214. Li Ziwei. Realization of Rayleigh Wave Dispersion Imaging Method and Comparative Study of Imaging Effect[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2015, 37(2):208-214.
[8] 刘雪明. 瑞雷波地基检测中震源及"之"字形频散曲线的数值研究[D]. 哈尔滨:哈尔滨工业大学, 2008. Liu Xueming. Numerical Study on Source and Zigzag Dispersion Curve in Rayleigh Wave Foundation Detection[D]. Harbin:Harbin Institute of Technology, 2008.
[9] 符健. 基于改进非线性算法的瑞利波多模式频散曲线反演研究[D]. 西安:长安大学, 2019. Fu Jian. Multi Mode Dispersion Curve Inversion of Rayleigh Wave Based on Improved Nonlinear Algorithm[D]. Xi'an:Chang'an University, 2019.
[10] Löwdin P O. On Linear Algebra, the Least Square Method, and the Search for Linear Relations by Regression Analysis in Quantum Chemistry and Other Sciences[J]. Advances in Quantum Chemistry, 1992, 23:83-126.
[11] 陈杰,熊章强,张大洲,等.基于多模式的多重滤波方法提取瑞雷面波频散曲线[J].工程地球物理学报,2018, 15(4):411-417. Chen Jie, Xiong Zhangqiang, Zhang Dazhou, et al. The Extract Dispersion Curves of Rayleigh Surface Wave Based on Multiple Filtering Method[J]. Chinese Journal of Engineering Geophysics, 2018, 15(4):411-417.
[12] 秦臻, 姚姚, 张才. 频率域速度谱中提取面波的多模频散曲线方法[J]. 人民长江, 2009, 40(11):57-59. Qin Zhen, Yao Yao, Zhang Cai.Multimode Dispersion Curve Method for Surface Wave Extraction from Velocity Spectrum in Frequency Domain[J]. Yangtze River, 2009, 40(11):57-59.
[13] Robinson E A, Treitel S. Geophysical Signal Analysis[M]. New York:Prentice-Hall,1980:152-163.
[14] 陈毅军, 程浩, 巩恩普, 等. 基于Shearlet变换的尺度方向自适应阈值地震数据随机噪声压制方法[J]. 吉林大学学报(地球科学版), 2021, 51(4):1231-1242. Chen Yijun, Cheng Hao, Gong Enpu,et al. Random Noise Suppression of Seismic Data with Scale-Oriented Adaptive Threshold Based on Shearlet Transform[J]. Journal of Jilin University (Earth Science Edition), 2021, 51(4):1231-1242.
[15] 陈文超,陈昕,王伟,等. 基于波形特征稀疏化建模的地震信号表示理论与方法[J]. 石油物探, 2018, 57(1):39-44. Chen Wenchao, Chen Xin, Wang Wei, et al. Seismic Signal Analysis Based on Waveform Diversity Enabled Sparse Representation[J]. Geophysical Prospecting for Petroleum, 2018, 57(1):39-44.
[1] Zhang Yangyang, Du Wei.

Adaptive Finite Element Method for Audio-Frequency Magnetotelluric Forward Modeling Based on Super Convergent Patch Recovery [J]. Journal of Jilin University(Earth Science Edition), 2026, 56(2): 673-683.

[2] Zhao Tianshuo, Song Chao, Liu Cai, Xu Yuxin. Physics-Informed Neural Network Tomography (PINNtomo):Factorization Methods for the Eikonal Equation in Seismic Traveltime Inversion [J]. Journal of Jilin University(Earth Science Edition), 2026, 56(2): 694-702.
[3] Huang Xingguo, Weng Yangyang, Han Li. Poroelastic Seismic Wave Forward Modeling Based on Generalized Recursive Convolution [J]. Journal of Jilin University(Earth Science Edition), 2026, 56(1): 377-385.
[4] Jiang Chuandong, Meng Luyao, Yang Qiyu, Wang Yunzhi, Xu Yang, Wang Yanzhang, Lin Jun. Progress and Prospects of Underground Electromagnetic Exploration Techniques for Deep Metal Deposits [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(6): 2100-2119.
[5] Shao Yifei , Gong Qizhou, Xu Quan, Zhang Yue, Wang Yanzhang, Wang Shilong. 3D Forward Modeling of Time-Domain Airborne Electromagnetic Reponses in Deeply Incised Terrain Based on Octree Mesh [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(6): 2120-2131.
[6] Ding Qianlong, Shen Jinsong, Chen Shuangquan, Ran Shang, Long Gang.  Frequency-Domain Propagation Matrix Method for Seismic AVA Multi-Parameter Inversion [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(3): 957-969.
[7] Jin Haoying, Cheng Dawei , Zhan Hongbing, Yang Shengke, Zhang Xiaofei, Zhang Lin, . Modified Theis Well Model and Its Analytical Solution in Unconfined Aquifers Considering Capillary Saturated Zone [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(2): 563-574.
[8] Xing Huiting , Feng Xuan, Liu Cai, Guo Zhiqi, Pang Shuo, Qiao Hanqing, .

Based on Bayesian Frequency-Dependent AVO Inversion for Multiple Fracture Parameters Prediction in Fractured Reservoirs [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(2): 657-669.

[9] Long Gang, Shen Jinsong, Su Zhaoyang, Ran Shang. Time Domain Electromagnetic Response Simulation and Characteristic Analysis of Electroanisotropic Seafloor Massive Sulfide Deposits [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(1): 274-288.
[10] Lyu Huaxing, Chen Zhaoming, Zhang Zhenbo, Jiang Dapeng, Li Kecheng, Guo Wei. Application of Machine Learning High-Resolution Fusion Inversion in Stratigraphic Correlation: A Case Study of Kaiping A Structural #br# Belt in Kaiping Sag of the Pearl River Mouth Basin [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(1): 289-297.
[11] Zheng Xuan, Zong Zhaoyun, Fu Yaqun, Luo Kun.  Pre-Stack Seismic Inversion Prediction Method and Application for Marine Oil and Gas Cap Rocks [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(6): 2128-2141.
[12] Zhang Ke, Dou Songjiang, Gao Huanhuan, Shi Shi, Li Tao, Tang Ge, Yang Bing. Application of Spectral Recovery and Waveform Inversion in Thin Reservoir Prediction in Daning-Jixian Block [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(6): 2142-2153.
[13] Lei Songda, Wang Xianxiang, Liu Suiming. Three-Dimensional Response Characteristics of Transient Electromagnetic Method with Electrical Sources in Shallow Sea Areas Under Complex Geological Conditions [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(3): 1016-1030.
[14] Li Ruiyou, Bai Ximin, Zhang Yong, Wang Jing, Zhu Liang, Ding Xiaohui, Li Guang. Using Wavelet Packet Denoising and BP Neural Network Based on GA Optimization for Transient Electromagnetic Inversion [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(3): 1003-1015.
[15] Gu Guanwen, Wang Shunji, Li Tonglin, Wu Ye, Xu Zhihe. Influence of Different Power Supply Direction Excitation on Three-Dimensional Induced Polarization Exploration Effect with  #br# Central Gradient Array of Multi-Group Power Supply Pole Distance Combination#br# [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(1): 292-309.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] You Minxin，Liu Jianmin. Application Status and Progress of Isotopic Geochemistry in Research of Emeishan Large Igneous Province (ELIP)[J]. Journal of Jilin University(Earth Science Edition), 2014, 44(4): 1231 -1243 .
[2] YANG Chun-mei, LI Hong-qi,LU Da-wei,ZHANG Fang-li,GAO Yuan,SHAO Ying-chao. The Relationship Between Rock Resistivity and Water Saturation in WaterDriveOil and OilDriveWater Process[J]. J4, 2005, 35(05): 667 -671 .
[3] ZHU Hong-chen,ZHANG Jiong-fei,QUAN Heng. Two Stages of Mesozoic Lithogenesis and Mineralization in Daxing’anling Mountains[J]. J4, 2005, 35(04): 436 -0442 .
[4] ZHU Jian-wei, ZHAO Gang, LIU Bo, GUO Wei, CHENG Jun. Identification Technology and It’s Application of Well-Logging About Oil Shale[J]. J4, 2012, 42(2): 289 -295 .
[5] CHEN Li, LIANG Hai-an，ZHANG Wen-juan，RONG Fan. Application of Fuzzy Mathematics in Division of Engineering Geo-Environment of Cities-An Example of Fushun City[J]. J4, 2008, 38(5): 837 -0840 .
[6] GAO Gui-mei,SU Ke,WANG Wen-ying,GAN Shu-cai,LIU Zhao-jun. Study on Rare Earth and Trace Elements in Oil Shale Samples, Huadian, Jilin Province[J]. J4, 2006, 36(6): 974 -0979 .
[7] WU Kong-yun,JIANG Zhong-cheng,YE Ye. Influence of Different Plant Communities On Erosion Rates of Limestone Rock Blocks[J]. J4, 2007, 37(5): 967 -0971 .
[8] ZHOU Yan-zhang, CHI Bao-ming, LIU Zhong-pei. Mode of Structural Control about Groundwater Pour-in Mechanism in Xiadian Gold Deposits in Shandong Province[J]. J4, 2008, 38(2): 255 -0260 .
[9] ZHANG Yuan, LIU Lian-deng,SUN Jing-gui,CHEN Guo-hua,ZHANG Hong-xi,YAN Fu-chuan, YANG Kai-chun. Two Phase Overprinting Mineralization in Huangbuling Gold Deposit in Northwestern Jiaodong Peninsula[J]. J4, 2008, 38(1): 21 -0026 .
[10] LU Cheng-peng, SHU Long-cang, YUAN Li-bo, ZHANG Rong-rong, HUANG Bi-juan, WANG Bin-bin. Determination of Hydrogeologic Parameters of Karst Aquifer Based on Tracer Test[J]. J4, 2009, 39(4): 717 -721 .
Copyright © Journal of Jilin University(Earth Science Edition), All Rights Reserved.
Tel: +86-431-88502374；13756165364　E-mail: xuebao1956@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd