吉林大学学报(地球科学版) ›› 2021, Vol. 51 ›› Issue (1): 266-276.doi: 10.13278/j.cnki.jjuese.20190291

• 地球探测与信息技术 • 上一篇    下一篇

基于岩石物理模型的裂缝型储层AVOA反演方法

陈祥忠1, 王斌2   

  1. 1. 吉林大学地球探测科学与技术学院, 长春 130026;
    2. 成都理工大学地球物理学院, 成都 610059
  • 收稿日期:2019-12-20 出版日期:2021-01-26 发布日期:2021-02-02
  • 通讯作者: 王斌(1985-),男,高级工程师,博士研究生,主要从事地球探测与信息技术研究,E-mail:67244992@qq.com E-mail:67244992@qq.com
  • 作者简介:陈祥忠(1982-),男,高级工程师,博士研究生,主要从事地球探测与信息技术研究,E-mail:6447316@163.com
  • 基金资助:
    国家自然科学基金面上项目(41774136)

AVOA Inversion Methodof Fractured Reservoir Based on Petrophysical Model

Chen Xiangzhong1, Wang Bin2   

  1. 1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;
    2. College of Geophysics, Chengdu University of Technology, Chengdu 610059, China
  • Received:2019-12-20 Online:2021-01-26 Published:2021-02-02
  • Supported by:
    Supported by the National Natural Science Foundation of China (41774136)

摘要: 纵波各向异性裂缝预测方法是目前应用比较广泛、效果较好的一种裂缝预测方法;但传统椭圆拟合方法的准确性受到一系列因素的影响,致使裂缝密度反演结果不准确。本次研究根据Ruger方程精确式推导各向异性介质中储层裂缝密度的计算方法,该方法首先利用入射角、方位角、Thomsen各向异性三参数以及介质弹性参数的函数来计算纵波反射系数,然后根据纵波反射系数计算待测储层中裂缝的切向各向异性系数,最后根据各向异性系数计算待测储层的裂缝密度。利用该方法在四川盆地正坝南地区通过实际纵波AVOA数据反演法向和切向裂隙弱度预测裂缝密度,裂缝参数反演结果与钻井信息吻合;表明该方法能够用于裂缝储层预测,确定研究区裂缝发育情况。

关键词: 裂缝岩石物理模型, 各向异性, 裂缝密度, 纵波AVOA, 四川盆地

Abstract: At present, the P-wave anisotropy-based fracture prediction method is widely-used with relatively satisfactory performance. However, the accuracy of the conventional ellipse fitting method is affected by a series of factors, which leads to inaccurate inversion results of fracture density. In this study, the calculation method of reservoir fracture density in anisotropic media is derived according to the exact formula of Ruger equation. Firstly, the reflection coefficient of P-wave is calculated by using the functions of incidence angle, azimuth angle, Thomsen anisotropy and medium elastic parameters; then the tangential anisotropy coefficient of fractures in the reservoir to be measured is calculated according to the reflection coefficient of P-wave; finally, according to the anisotropy coefficient, the fracture density of the reservoir to be measured is calculated. The fracture density of Zhengbanan area in the Sichuan basin was calculated by using the fracture inversion results obtained from the actual P-wave AVOA data, and the results are consistent with the drilling data. It shows that this method can be used to determine the fracture development status and the fractured reservoir identification.

Key words: physical model of fractured rock, anisotropy, fracture density, P-wave AVOA, Sichuan basin

中图分类号: 

  • P618.13
[1] 王一刚,文应初,洪海涛,等. 川东北三叠系飞仙关组深层鲕滩气藏勘探目标[J]. 天然气工业,2004,24(12):5-9. Wang Yigang,Wen Yingchu,Hong Haitao,et al. Exploration Target of the Deep Oolitic Beach Gas Reservoir of the Triassic System Feixianguan Formation in Northeast Part of Sichuan Basin[J]. Natural Gas Industry,2004,24(12):5-9.
[2] 王兴志,张帆,马青,等. 四川盆地东部晚二叠世一早三叠世飞仙关期礁滩特征与海平面变化[J]. 沉积学报,2002,20(2):249-254. Wang Xingzhi,Zhang Fan,Ma Qing,et al. The Characteristics of Reef and Bank and the Fluctuation of Sea-Level in Feixianguan Period of Late Permian-Early Triassic, East Sichuan Basin[J]. Acta Sedimentologica Sinica,2002,20(2):249-254.
[3] 刘冉,霍飞,王鑫,等. 普光气田下三叠统飞仙关组碳酸盐岩储层特征及主控因素分析[J]. 中国石油勘探,2017,22(6):34-36. Liu Ran,Huo Fei, Wang Xin, et al. Characteristics and Main Controlling Factors of Lower Triassic Feixianguan Formation Carbonate Reservoir in Puguang Gas Field[J]. China Petroleum Exploration,2017,22(6):34-36.
[4] Ruger A,Tsvankin I. Using AVO for Fracture Detection:Analytic Basis and Practical Solutions[J]. The Leading Edge,1997,16(10):1429-1434.
[5] Tsvankin I. Reflection Moveout and Parameter Estimation for Horizontal Transverse Isotropy[J]. Geophysics,1997,62(2):614-629.
[6] Gray D,Head K. Fracture Detection in Manderson Field:A 3-D AVAZ Case History[J]. The Leading Edge,2000,19(11):1214-1221.
[7] Bachrach R,Sengupta M,Salama A,et al. Reconstruction of the Layer Anisotropic Elastic Parameter and High Resolution Fracture Characterization from P-Wave Data:A Case Study Using Seismic Inversion and Bayesian Rock Physics Parameter Estimation[J]. Geophysical Prospecting,2009,57:253-262.
[8] 镇晶晶,刘洋. 裂缝介质岩石物理模型研究综述[J]. 地球物理学进展,2011,26(5):1708-1716. Zhen Jingjing,Liu Yang. Review over Physical Model of Fractured Rock Medium[J]. Progress in Geophysics,2011,26(5):1708-1716.
[9] Shaw R K,Sen M K. Use of AVOA Data to Estimate Fluid Indicator in a Vertically Fractured Medium[J]. Geophysics,2006,71(3):15-24.
[10] Alhussain M,Sen M K. Quantitative Estimation of Fracture Parameters After Removing Anisotropic Overburden Effect[J]. SEG Technical Program Expanded Abstracts,2013,83:2443-2447.
[11] Narhari S R,Dashti Q,Silva J,et al. Application of Prestack Orthotropic AVAZ Inversion for Fracture Characterization of a Deep Carbonate Reservoir in Northern Kuwait[J]. The Leading Edge,2015,34(2):257-265.
[12] 卢明辉,彭立才,杨慧珠,等. 小生境遗传算法AVOA反演[J]. 石油地球物理勘探, 2006, 41(4):447-450. Lu Minghui,Peng Licai,Yang Huizhu,et al. Application of Niche Genetic Algorithm(NGA) on AVOA Inversion[J]. Oil Geophysical Prospecting, 2006, 41(4):447-450.
[13] 马中高,张国保,孙成龙. 多方位速度和AVOA同步分析[J]. 石油地球物理勘探,2009,44(增刊1):135-137,144. Ma Zhonggao,Zhang Guobao,Sun Chenglong. Multi-Azimuthal Velocity and AVOA Synchronous Analysis[J]. Oil Geophysical Prospecting,2009,44(Sup. 1):135-137,144.
[14] 薛姣,顾汉明,蔡成国,等. 基于等效介质模型的裂缝参数AVOA反演[J]. 石油地球物理勘探,2016,51(6):1171-1179. Xue Jiao,Gu Hanming,Cai Chengguo,et al. Estimation of Fracture Parameters from P-Wave AVOA Data Based on Equivalent Media Theory[J]. Oil Geophysical Prospecting,2016,51(6):1171-1179.
[15] 赵才顺,万欢,张昊,等.纵波方位各向异性正演模拟及叠前裂缝检测应用研究:以鄂尔多斯盆地致密砂岩气区块为例[J].地球物理学进展,2019,34(1):257-265. Zhao Caishun,Wan Huan,Zhang Hao,et al. Research Application of the P-Wave Anisotropy Forward Modeling and Pre-Stack Fracture Detection:Take the Tight Sandstone Gas Block in Ordos Basin as an Example[J]. Progress in Geophysics,2019,34(1):257-265.
[16] 吴珊珊,高刚,桂志先,等. 基于Ruger近似式预测裂缝型储层的可行性研究[J]. 煤田地质与勘探,2020,48(1):1-8. Wu Shanshan,Gao Gang,Gui Zhixian,et al. Ruger Approximate Formula-Based Prediction of Fractured Reservoir[J]. Coal Geology & Exploration,2020,48(1):1-8.
[17] 李博南,刘财,郭智奇. 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[J]. 吉林大学学报(地球科学版),2017,47(1):234-244. Li Bonan,Liu Cai,Guo Zhiqi. Estimation of Fractured Reservoir Parameters Based on Equivalent Media Model and Frequncy-Dependent AVO Inversion[J]. Journal of Jilin University (Earth Science Edition),2017,47(1):234-244.
[18] 罗腾,冯晅,郭智奇,等. 基于模拟退火粒子群优化算法的裂缝型储层各向异性参数地震反演[J]. 吉林大学学报(地球科学版),2019,49(5):1466-1476. Luo Teng,Feng Xuan,Guo Zhiqi,et al. Seismic Inversion of Anisotropy Parameters of Fractured Reservoirs by Simulated Annealing and Particle Swarm Optimization[J]. Journal of Jilin University (Earth Science Edition),2019,49(5):1466-1476.
[19] 曲寿利,季玉新,王鑫,等. 全方位P波属性裂缝检测方法[J]. 石油地球物理勘探,2001,36(4):390-397. Qu Shouli,Ji Yuxin,Wang Xin, et al. Seismic Method for Using Full-Azimuth P Wave Attribution to Detect Fracture[J]. Oil Geophysical Prospecting,2001,36(4):390-397.
[20] 赵思为,贺振华, 熊晓军,等. 方位P波裂缝检测技术在川东北裂缝型储层中的应用[J]. 石油地球物理勘探,2010,45(2):260-264. Zhao Siwei,He Zhenhua,Xiong Xiaojun, et al. Application of Azimuthal P-Wave Fracture Detection Technique in Fracture Reservoir in Northeast Sichuan China[J]. Oil Geophysical Prospecting,2010,45(2):260-264.
[21] 王洪求,杨午阳,谢春辉,等. 不同地震属性的方位各向异性分析及裂缝预测[J]. 石油地球物理勘探,2014,49(5):925-931. Wang Hongqiu,Yang Wuyang,Xie Chunhui, et al. Azimuthal Anisotropy Analysis of Different Seismic Attributes and Fracture Prediction[J]. Oil Geophysical Prospecting,2014,49(5):925-931.
[22] Schoenberg M. Elastic Wave Behavior Across Linear Slip Interface[J]. J Acoust Soc Amer,1980,68(4):1516-1521.
[23] Hsu C J,Schoenberg M. Elastic Waves Through a Simulated Fractured Medium[J]. Geophysics,1993,58(7):964-977.
[24] Ruger A. Variation of P-Wave Reflectivity with Offset and Azimuth in Anisotropic Media[J]. Geophysics,1998,63(3):935-947.
[25] Hudson J A. Overall Properties of a Cracked Solid[J]. Mathematical Proceedings of the Cambridge Philosophical Society,1980,88(1):371-384.
[26] Schoenberg M. Elastic Wave Behavior Across Linear Slip Interfaces[J]. Journal of the Acoustical Society of America,1980,68(5):1516-1521.
[27] Bakulin A,Grechka V,Tsvankin I. Estimation of Fracture Parameters from Reflection Seismic Data:Part 1:HTI Model due to a Single Fracture Set[J]. Geophysics,2000,65(6):1788-1802.
[28] 马永生,傅强,郭彤楼,等. 川东北地区普光气田长兴-飞仙关气藏成藏模式与成藏过程[J].石油实验地质,2005,27(5):455-461. Ma Yongsheng,Fu Qiang,Guo Tonglou,et al. Pool Forming Pattern and Process of the Upper Permian-Lower Triassic, the Puguang Gas Field, Northeast Sichuan Basin, China[J]. Petroleum Geology & Experiment,2005,27(5):455-461.
[29] 刘微,曾云贤,杨雨. 飞仙关组鲕滩储层常规地震相识别技术探索[J]. 西南石油大学学报,2007,29(2):30-33. Liu Wei,Zeng Yunxian,Yang Yu. Probe of Traditional Seismic Facies Identification Technology of Oolite Reservoir, Feixianguan Formation[J]. Journal of Southwest Petroleum University,2007,29(2):30-33.
[1] 陈泽熙, 徐志明, 李斌, 钟笠, 彭军, 张昆, 魏祥峰, 郝景宇. 基质型页岩甜点特征及评价方法:以四川盆地涪陵地区中侏罗统凉高山组陆相页岩为例[J]. 吉林大学学报(地球科学版), 2026, 56(3): 788-803.
[2] 夏英杰, 陈华斌, 陈健, 姚明宇, 杨海. 不同施工参数下深层页岩水力压裂数值模拟[J]. 吉林大学学报(地球科学版), 2026, 56(3): 924-936.
[3] 吴小奇, 刘全有, 王萍, 黎华继, 朱东亚, 李朋朋. 沉积盆地天然气藏中氦气贫化机理及资源潜力:以四川盆地新场气田为例[J]. 吉林大学学报(地球科学版), 2025, 55(6): 1837-1850.
[4] 杨国鑫, 庞玉茂, 马瑞山, 郭兴伟, 曹慧, 蔡来星. 孔隙及流体介质对碎屑岩热导率的影响[J]. 吉林大学学报(地球科学版), 2025, 55(5): 1728-1741.
[5] 肖正录, 李勇, 路俊刚, 秦春雨, 刘章昊, 周翔, 蒋奇君, 周易鑫. 四川盆地侏罗系大安寨段页岩油富集条件及有利勘探目标[J]. 吉林大学学报(地球科学版), 2025, 55(4): 1039-1050.
[6] 屈海洲, 陈润, 徐伟 , 张云峰, 张亚 , 何溥为, 唐松, 李文皓.

白云石胶结物特征及其对深层白云岩孔隙的作用 [J]. 吉林大学学报(地球科学版), 2025, 55(2): 401-416.

[7] 龙刚, 沈金松, 苏朝阳, 冉尚. 电各向异性海底多金属硫化矿地层时域电磁响应模拟与特征分析[J]. 吉林大学学报(地球科学版), 2025, 55(1): 274-288.
[8] 肖斌, 郭东旭, 王浩, 熊姝臻, 富向, 赵忠海, 李胜. 四川盆地北缘下志留统龙马溪组重晶石发育特征及其地质意义[J]. 吉林大学学报(地球科学版), 2024, 54(4): 1137-1153.
[9] 宋林珂, 刘四兵, 曾青高, 周栋, 唐大海, 王锦西.

四川盆地川中—川西过渡带中侏罗统沙溪庙组致密砂岩相对优质储层成因机制 [J]. 吉林大学学报(地球科学版), 2024, 54(2): 371-388.

[10] 单玄龙, 邢健, 苏思远, 李昂, 赵振铎, 杨钦, 李雪松, 井翠, 张家浩, 孙越.

川南长宁地区下古生界五峰组—龙马溪组一段页岩岩相与含气性特征 [J]. 吉林大学学报(地球科学版), 2023, 53(5): 1323-1337.

[11] 师文豪, 杨天鸿. 渗流应力耦合作用下顺倾向层状边坡各向异性渗流特征数值模拟[J]. 吉林大学学报(地球科学版), 2021, 51(6): 1783-1788.
[12] 曹长鑫, 孙红月. 黄土地区边坡虹吸排水孔间距优化[J]. 吉林大学学报(地球科学版), 2021, 51(4): 1152-1159.
[13] 田兴旺, 罗冰, 孙奕婷, 刘冉, 李亚, 陈延贵, 周春林, 汪华, 李亚丁, 王尉, 王云龙, 杨岱林. 二叠系火山碎屑岩气藏天然气地球化学特征及气源分析——以四川盆地成都—简阳地区永探1井为例[J]. 吉林大学学报(地球科学版), 2021, 51(2): 325-335.
[14] 冯凯, 秦策. 大地电磁(MT)自适应有限元各向异性正演[J]. 吉林大学学报(地球科学版), 2020, 50(6): 1887-1896.
[15] 易海永, 崔宝琛, 王瑶琳, 邱玉超, 徐胜林, 李乾. 四川盆地广安地区中二叠统栖霞组岩石特征与沉积环境[J]. 吉林大学学报(地球科学版), 2020, 50(2): 454-464.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 刘建峰,迟效国,周燕,王铁夫,金巍,周建波,董春艳,黎广荣. 小兴安岭东北部金林岩体全岩-角闪石Rb-Sr年龄[J]. J4, 2005, 35(06): 690 -0693 .
[2] 黄冠星, 孙继朝, 张英, 刘景涛, 张玉玺, 荆继红. 珠江三角洲污灌区地下水重金属含量及其相互关系[J]. J4, 2011, 41(1): 228 -234 .
[3] 肖长来,梁秀娟,崔建铭,兰盈盈,张君,李书兰,梁瑞奇,郑策. 确定含水层参数的全程曲线拟合法[J]. J4, 2005, 35(06): 751 -0755 .
[4] 郭振华,王璞珺,印长海,黄玉龙. 松辽盆地北部火山岩岩相与测井相关系研究[J]. J4, 2006, 36(02): 207 -0214 .
[5] 孙永河,付晓飞,吕延防,付广,阎冬. 地震泵抽吸作用与油气运聚成藏物理模拟[J]. J4, 2007, 37(1): 98 -0104 .
[6] 谢忠雷,陈卓,孙文田,尹波. 不同茶园茶叶氟含量及土壤氟的形态分布[J]. J4, 2008, 38(2): 293 -0298 .
[7] 贾军涛,王璞珺,邵 锐,程日辉,张 斌,侯景涛,李金龙,边伟华. 松辽盆地东南缘营城组地层序列的划分与区域对比[J]. J4, 2007, 37(6): 1110 -1123 .
[8] 康立明,任战利. 多参数定量研究流动单元的方法--以鄂尔多斯盆地W93井区为例[J]. J4, 2008, 38(5): 749 -0756 .
[9] 薛永超, 程林松. 白豹油田长8油藏成岩储集相[J]. J4, 2011, 41(2): 365 -371 .
[10] 姜纪沂, 张宇东, 谷洪彪, 左兰丽. 基于灰色关联熵的地下水环境演化模式判别模型研究[J]. J4, 2009, 39(6): 1111 -1116 .