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
李博南, 刘财, 郭智奇
Li Bonan, Liu Cai, Guo Zhiqi
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。
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| [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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