APPLIED GEOPHYSICS
 
        Home  |  Copyright  |  About Journal  |  Editorial Board  |  Indexed-in  |  Subscriptions  |  Download  |  Contacts Us  |  中文
APPLIED GEOPHYSICS  2015, Vol. 12 Issue (2): 199-211    DOI: 10.1007/s11770-015-0483-3
article Current Issue | Next Issue | Archive | Adv Search Previous Articles  |  Next Articles  
Zoeppritz equation-based prestack inversion and its application in fluid identification
Huang Han-Dong1,2, Wang Yan-Chao1,2, Guo Fei3, Zhang Sheng1,2, Ji Yong-Zhen1, and Liu Cheng-Han4
1. State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China.
2. College of Enhanced Oil Recovery, China University of Petroleum-Beijing, Beijing 102249, China.
3. Research Institute, CNOOC Ltd.-Shenzhen, Guangzhou 510240, China.
4. School of Geophysics and Oil Resources, Yangtze University, Wuhan 434023, China.
 Download: PDF (1628 KB)   HTML ( KB)   Export: BibTeX | EndNote (RIS)      Supporting Info
Abstract Prestack seismic inversion methods adopt approximations of the Zoeppritz equations to describe the relation between reflection coefficients and P-wave velocity, S-wave velocity, and density. However, the error in these approximations increases with increasing angle of incidence and variation of the elastic parameters, which increases the number of inversion solutions and minimizes the inversion accuracy. In this study, we explore a method for solving the reflection coefficients by using the Zoeppritz equations. To increase the accuracy of prestack inversion, the simultaneous inversion of P-wave velocity, S-wave velocity, and density by using prestack large-angle seismic data is proposed based on generalized linear inversion theory. Moreover, we reduce the ill posedness and increase the convergence of prestack inversion by using the regularization constraint damping factor and the conjugate gradient algorithm. The proposed prestack inversion method uses prestack large-angle seismic data to obtain accurate seismic elastic parameters that conform to prestack seismic data and are consistent with logging data from wells.
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Huang Han-Dong
Wang Yan-Chao
Guo Fei
Zhang Sheng
Ji Yong-Zhen
Liu Cheng-Han
Key wordsPrestack inversion   Zoeppritz equation   simultaneous inversion   fluid identification     
Received: 2014-12-22;
Fund:

This research work is supported by the 973 Program of China (No. 2011CB201104 and 2011ZX05009) and the National Science and the Technology Major Project (No. 2011ZX05006-06).

Cite this article:   
Huang Han-Dong,Wang Yan-Chao,Guo Fei et al. Zoeppritz equation-based prestack inversion and its application in fluid identification[J]. APPLIED GEOPHYSICS, 2015, 12(2): 199-211.
 
[1] Aki, K., Richards, P. G., 1980, Quantitative seismology:Theory and methods, Version1. Freeman: W. H. Freeman and Co, 100-170.
[2] Castagna, J. P., Swan, H. W., 1997, Principles of AVO cross plotting: The Leading Edge, 16(4), 337-342.
[3] Castagna, J. P., Swan, H. W., Foster, D. J., 1998, Frameword for AVO gradient and intercept interpretation: Geophysics, 63(3), 948-956.
[4] Gray, D., Goodway, B., and Chen, T., 1999, Bridging the Gap: UsingAVO to Detect Changes in Fundamental Elastic Constants: 69th Ann. Internat. Mtg, Soc. Expl.Geophys., Expanded Abstracts, 852-855.
[5] Huang, H. D., Zhang, R. W., Luo, Q., Zhao, D., and Peng, Y. M., 2009, Subtle trap recognition based on seismic sedimentology-A case study from Shengli oilfield: Applied Geophysics, 6(2), 175-183.
[6] Huang, H. D., Zhang, R. W., Shen, G. Q., Guo, F., and Wang, J. B., 2011, Study of prestack elastic parameter consistency inversion methods: Applied Geophysics, 8(4), 311-318.
[7] Huang, H. D., Wang, Y. C., Guo, F., and Liu, C. H., 2013, High precision prestack inversion algorithm based on Zoeppritz equations: Oil Geophysical Prospecting, 48(5), 740-749.
[8] Meng, X. J., Jiang, X. T., Huang, H. D., and Wei, X. C., 2004, Generalized non-linear P wave and S wave velocity inversion of prestack AVA: Oil Geophysical Prospecting, 39(6), 645-650.
[9] Rutherford, S. R., and Williams, R. H., 1989, Amplitude-versus-offset variations in gas sands: Geophysics, 54(6), 680-688.
[10] Russell, B. H., Hedlin, K., and Hilterman, F. J., 2003, Fluid-property discrimination with AVO: A Biot-Gassmann perspective: Geophysics, 68(1), 29-39.
[11] Russell, B. H., and Gray, D., Hampson, D. P., 2011, Linearized AVO and Poroelasticity: Geophysics, 76(3), C19-C29.
[12] Shuey, R. T., 1985, A simplification of the Zoeppritz equations: Geophysics, 50(4), 609-614.
[13] Wang, B. L., Yin, X. Y., and Zhang, F. C., 2007, Gray approximation-based elastic wave impedance equation and inversion: Oil Geophysical Prospecting, 42(4), 435-439.
[14] Yin, X. Y., Zhang, S. X., Zhang, F. C., and Hao, Q. Y., 2010, Utilizing Russell Approximation-based elastic wave impedance inversion to conduct reservoir description and fluid identification: Oil Geophysical Prospecting, 45(3), 373-380.
[15] Yin, X. Y., Zhang, S. X., and Zhang, F., 2013, Two-term elastic impedance inversion and Russell fluid factor direct estimation method for deep reservoir fluid identification: Chinese Journal of Geophysics, 56(7), 2378-2390.
[16] Zoeppritz, K., 1919, On the reflection and propagation of seismic waves: Gottinger Nachrichten, I, 66-84.
[17] Zheng, X. D., 1991, Approximation of Zoeppritz equation and its application: Oil Geophysical Prospecting, 26(2), 129-144.
[1] Ma Qi-Qi and Sun Zan-Dong. Elastic modulus extraction based on generalized pre-stack PP–PS joint linear inversion[J]. APPLIED GEOPHYSICS, 2018, 15(3-4): 466-480.
[2] Fang Yuan, Zhang Feng-Qi, Wang Yan-Chun. Generalized linear joint PP–PS inversion based on two constraints[J]. APPLIED GEOPHYSICS, 2016, 13(1): 103-115.
[3] Wang Kang-Ning, Sun Zan-Dong, Dong Ning. Prestack inversion based on anisotropic Markov random field–maximum posterior probability inversion and its application to identify shale gas sweet spots[J]. APPLIED GEOPHYSICS, 2015, 12(4): 533-544.
[4] Song Li-Rong, Yu Chang-Qing, Li Gui-Hua, Feng Yang-Yang, He Jun-Jie. Characteristics of gravity anomalies and prediction of volcanosedimentary boron deposit distribution in the Xiongba area, Tibet[J]. APPLIED GEOPHYSICS, 2015, 12(4): 516-522.
[5] Xie Jun-Fa, Sun Cheng-Yu, Lin Mei-Yan, Li Jing-Jing. Wide-angle incidence and P-wave transmission[J]. APPLIED GEOPHYSICS, 2015, 12(4): 605-614.
[6] Zhang Ru-Wei, Li Hong-Qi, Zhang Bao-Jin, Huang Han-Dong, Wen Peng-Fei. Detection of gas hydrate sediments using prestack seismic AVA inversion[J]. APPLIED GEOPHYSICS, 2015, 12(3): 453-464.
[7] LIU Cai, LI Bo-南, ZHAO Xu, LIU Yang, LU Qi. Fluid identification based on frequency-dependent AVO attribute inversion in multi-scale fracture media[J]. APPLIED GEOPHYSICS, 2014, 11(4): 384-394.
[8] LUO Chun-Mei, WANG Shang-Xu, YUAN San-Yi. Effect of inaccurate wavelet phase on prestack waveform inversion[J]. APPLIED GEOPHYSICS, 2014, 11(4): 479-488.
[9] TIAN Yu-Kun, ZHOU Hui, CHEN Han-Ming, ZOU Ya-Ming, GUAN Shou-Jun. Bayesian prestack seismic inversion with a self-adaptive Huber-Markov random-field edge protection scheme[J]. APPLIED GEOPHYSICS, 2013, 10(4): 453-460.
[10] TAN Mao-Jin, ZOU You-Long, ZHANG Jin-Yan, ZHAO Xin. Numerical simulation of (T2, T1) 2D NMR and fluid responses[J]. APPLIED GEOPHYSICS, 2012, 9(4): 401-413.
[11] CHEN Xue-Hua, HE Zhen-Hua, ZHU Si-Xin, LIU Wei, ZHONG Wen-Li. Seismic low-frequency-based calculation of reservoir fluid mobility and its applications[J]. APPLIED GEOPHYSICS, 2012, 9(3): 326-332.
[12] CUI Jie, HAN Li-Guo, LIU Qian-Kun, ZHANG Xian-Wen, HAN Li. P-SV wave elastic impedance and fluid identification factor in weakly anisotropic media[J]. APPLIED GEOPHYSICS, 2010, 7(2): 135-142.
[13] PEI Fa-Gen, ZOU Chang-Chun, HE Tao, SHI Ge, CHOU Gen-Gen, REN Ke-Ying. Fluid sensitivity study of elastic parameters in low-medium porosity and permeability reservoir rocks[J]. APPLIED GEOPHYSICS, 2010, 6(1): 1-9.
[14] PEI Fa-Gen, ZOU Chang-Chun, HE Tao, SHI Ge, CHOU Gen-Gen, REN Ke-Ying. Fluid sensitivity study of elastic parameters in low-medium porosity and permeability reservoir rocks[J]. APPLIED GEOPHYSICS, 2010, 7(1): 1-9.
[15] CHEN Shuang-Quan, WANG Shang-Xu, ZHANG Yong-Gang, JI Min. Reservoir prediction using pre-stack inverted elastic parameters[J]. APPLIED GEOPHYSICS, 2009, 6(4): 375-384.
Copyright © 2011 APPLIED GEOPHYSICS
Support by Beijing Magtech Co.ltd support@magtech.com.cn