吉林大学学报(地球科学版) ›› 2017, Vol. 47 ›› Issue (1): 234-244.doi: 10.13278/j.cnki.jjuese.201701303

• 地球探测与信息技术 • 上一篇    下一篇

基于等效介质模型和频变AVO反演的裂缝储层参数估算方法

李博南, 刘财, 郭智奇   

  1. 吉林大学地球探测科学与技术学院, 长春 130026
  • 收稿日期:2016-10-15 出版日期:2017-01-26 发布日期:2017-01-26
  • 通讯作者: 刘财(1963-),男,教授,博士生导师,主要从事地震波场正反演理论和综合地球物理等方面的研究,E-mail:liucai@jlu.edu.cn E-mail:liucai@jlu.edu.cn
  • 作者简介:李博南(1988-),男,博士研究生,主要从事地震波场反演理论等研究,E-mail:bnmacsky@126.com
  • 基金资助:
    国家自然科学基金项目（41340039,41430322）

Estimation of Fractured Reservoir Parameters Based on Equivalent Media Model and Frequncy-Dependent AVO Inversion

Li Bonan, Liu Cai, Guo Zhiqi   

  1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China
  • Received:2016-10-15 Online:2017-01-26 Published:2017-01-26
  • Supported by:
    Supported byNational Natural Science Foundation of China (41340039, 41430322)

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摘要： 由于裂缝性油气藏具有突出的资源潜力和经济效益,利用地震方法对裂缝储层进行精细的定量描述逐渐成为勘探地球物理的关键任务之一。为了克服以往数据驱动类反演方法无法直接获得裂缝参数、而基于静态等效介质模型驱动的反演方法无法描述孔隙内部结构和流体信息的缺点,笔者提出一种基于动态等效介质模型的储层定量描述新方法。该方法通过频变AVO（amplitude variation with offset）理论建立目标函数并使用全局最优化算法反演裂缝参数。一维和二维模型测试证实,由于充分利用了反射系数频变响应对裂缝密度和时间尺度因子的敏感性,反演方法可以对裂缝储层实现有效描述。

关键词: 裂缝性油气藏, 频变AVO反演, 动态等效介质模型, 裂缝储层描述

Abstract: Because the fractured reservoirs have outstanding resource potential and economic benefits, fine quantitative characterization on fractured reservoirs using seismic methods is becoming one of the key tasks of exploration geophysics. To overcome the disadvantages of the conventional methods of data driven inversion which cannot acquire fracture parameters directly, and of the model driven inversion method based on the static equivalent medium theory which cannot characterize the internal pore structure and fluid information, we propose a quantitative reservoir characterization method based on a dynamic equivalent media model. The method establishes the objective function using frequency-dependent AVO theory and uses a global optimization algorithm to estimate fracture parameters. Through applying our method to 1D and 2D models, we can confirm that, by taking full advantage of the sensitivity of frequency-dependent response of the reflection coefficient to the fracture density and time scale factor, the inversion algorithm can effectively characterize the fractured reservoir.

Key words: fractured reservoirs, frequency-dependent AVO inversion, dynamic equivalent medium model, fractured reservoirs characterization

中图分类号: 

  • P631.4
[1] Engelder T, Lash G G, Uzcátegui R S. Joint Sets that Enhance Production from Middle and Upper Devonian Gas Shales of the Appalachian Basin[J]. AAPG Bulletin, 2009, 93(7):857-889.
[2] Engelder T. Joints and Shear Fractures in Rock[M]//Fracture Mechanics of Rock. London:Academic Press Inc (London) Ltd, 1987:27-69.
[3] Narr W, Schechter D W, Thompson L B. Naturally Fractured Reservoir Characterization[M]. Richardson:Society of Petroleum Engineers, 2006.
[4] 张国君,冯晅,王典,等. 裂隙性油气藏发展现状[J]. 吉林大学学报(地球科学版), 2008, 38(增刊1):43-47. Zhang Guojun, Feng Xuan, Wang Dian, et al. Study on the Recovery of Aliasing Seismic Data Based on the Compressive Sensing Theory[J]. Journal of Jilin University (Earth Science Edition), 2008, 38(Sup. 1):43-47.
[5] 张广智,陈怀震,印兴耀,等. 基于各向异性AVO的裂缝弹性参数叠前反演方法[J]. 吉林大学学报(地球科学版), 2012, 42(3):845-851. Zhang Guangzhi, Chen Huaizhen, Yin Xingyao, et al. Method of Fracture Elastic Parameter Inversion Based on Anisotropic AVO[J]. Journal of Jilin University (Earth Science Edition), 2012, 42(3):845-851.
[6] Rüger A, Tsvankin I. Using AVO for Fracture De-tection:Analytic Basis and Practical Solutions[J]. The Leading Edge, 1997, 16(10):1429-1434.
[7] 刘财, 刘宇巍, 冯晅, 等. 基于方位相交的纵波AVA数据运用SVD反演HTI介质裂缝密度[J]. 吉林大学学报(地球科学版), 2013, 43(5):1655-1662. Liu Cai, Liu Yuwei, Feng Xuan, et al. Invert Crack Density of HTI Media by Using SVD Based on PP-Wave AVA Data from Crossing Seismic Survey Lines[J]. Journal of Jilin University (Earth Science Edition), 2013, 43(5):1655-1662.
[8] 刘喜武, 董宁, 刘宇巍. 裂缝性孔隙介质频变AVAZ反演方法研究进展[J]. 石油物探, 2015, 54(2):210-217. Liu Xiwu,Dong Ning,Liu Yuwei. Progress on Frequency-Dependent AVAZ Inversion for Characterization of Fractured Porous Media[J]. Geophysical Prospecting for Petroleum, 2015, 54(2):210-217.
[9] 桂金咏, 高建虎, 雍学善, 等. 基于双相介质理论的储层参数反演方法[J]. 地球物理学报,2015,58(9):3424-3438. Gui Jinyong, Gao Jianhu, Yong Xueshan, et al. Inversion of Reservoir Parameters based on Dual-Phase Media Theory[J]. Chinese Journal of Geophysicsics, 2015, 58(9):3424-3438.
[10] Guo Z Q, Li X Y, Liu C, et al. AVO Inversion Based on a Thin Bed Model for the Characterization of Fracture Zones in the Bakken Formation[C]//75th EAGE Conference & Exhibition.[S.1.]:EAGE, 2013.
[11] 兰慧田. 裂缝性孔隙介质波场模拟与频变AVO储层参数反演[D]. 长春:吉林大学, 2014. Lan Huitian. Wave Field Modeling in Fractured Porous Media and Frequency-Dependent AVO Reservoir Parameters Inversion[D]. Changchun:Jilin University, 2014.
[12] Hudson J A. Wave Speeds and Attenuation of Elastic Waves in Material Containing Cracks[J]. Geophysical Journal International, 1981, 64(1):133-150.
[13] Schoenberg M, Sayers C M. Seismic Anisotropy of Fractured Rock[J]. Geophysics, 1995, 60(1):204-211.
[14] Thomsen L. Elastic Anisotropy due to Aligned Cra-cks in Porous Rock[J]. Geophysical Prospecting, 1995, 43(6):805-829.
[15] Parra J O.Poroelastic Model to Relate Seismic Wave Attenuation and Dispersion to Permeability Anisotropy[J]. Geophysics, 2000, 65(1):202-210.
[16] 孟庆生, 何樵登, 朱建伟, 等. 基于BISQ模型双相各向同性介质中地震波数值模拟[J]. 吉林大学学报(地球科学版), 2003, 33(2):217-221. Meng Qingsheng, He Qiaodeng, Zhu Jianwei, et al. Seismic Modeling in Isotropic Porous Media Based on BISQ Model[J]. Journal of Jilin University (Earth Science Edition), 2003, 33(2):217-221.
[17] Chapman M,Zatsepin S V, Crampin S. Derivation of a Microstructural Poroelastic Model[J]. Geophysical Journal International, 2002, 151(2):427-451.
[18] Eshelby J. The Determination of the Elastic Field of an Ellipsoidal Inclusion, and Related Problems[J]. Proceedings of the Royal Society of London, 1957, 241:376-396.
[19] Chapman M,Maultzsch S, Liu E, et al. The Effect of Fluid Saturation in an Anisotropic Multi-Scale Equant Porosity Model[J]. Journal of Applied Geophysics, 2003, 54(3):191-202.
[20] Liu E,Maultzsch S, Chapman M, et al. Frequency-Dependent Seismic Anisotropy and Its Implication for Estimating Fracture Size in Low Porosity Reservoirs[J]. The Leading Edge, 2003, 22(7):662-665.
[21] Maultzsch S, Chapman M, Liu E, et al. Modelling Frequency-Dependent Seismic Anisotropy in Fluid-Saturated Rock with Aligned Fractures:Implication of Fracture Size Estimation from Anisotropic Measurements[J]. Geophysical Prospecting, 2003, 51(5):381-392.
[22] Tillotson P, Chapman M, Best A I, et al. Obser-vations of Fluid-Dependent Shear-Wave Splitting in Synthetic Porous Rocks with Aligned Penny-Shaped Fractures[J]. Geophysical Prospecting, 2011, 59(1):111-119.
[23] Chapman M, Liu E, Li X Y. The Influence of Fluid Sensitive Dispersion and Attenuation on AVO Analysis[J]. Geophysical Journal International, 2006, 167(1):89-105.
[24] Brown R J S,Korringa J. On the Dependence of the Elastic Properties of a Porous Rock on the Compressibility of the Pore Fluid[J]. Geophysics, 1975, 40(4):608-616.
[25] Schoenberg M,Protazio J. "Zoeppritz" Rationalized, and Generalized to Anisotropic Media[J]. The Journal of the Acoustical Society of America, 1990, 88(Sup. 1):S46-S46.
[26] Yang J, Geng J, Zhao L. Frequency Decomposition Convolutional Model for AVO/AVF Analysis in Viscoelastic Media[C]//2015 SEG Annual Meeting. New Orleans:Society of Exploration Geophysicists, 2015:613-618.
[27] Liu C, Song C,Lu Q, et al. Impedance Inversion Based on L1 Norm Regularization[J]. Journal of Applied Geophysics, 2015, 120:7-13.
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