阵列声波SVP技术在川南页岩气水平井裂缝识别中的应用

doi:10.3969/j.issn.1006-6535.2025.02.007

摘要/Abstract

摘要： 裂缝是油气渗流的重要通道,在页岩储层中裂缝的识别难度很大。针对川南地区五峰组—龙马溪组页岩储层的非均质性及易发育天然裂缝的特征,采用SVP裂缝处理技术,对阵列声波测井资料的信息进行识别,进而评价页岩储层裂缝发育程度。研究表明:阵列声波SVP处理结果与微地震监测事件具有很好的一致性。该技术不仅能够评价川南页岩气井裂缝发育规模,还能在一定程度上评价裂缝与页岩气井产能的相关性。通过对研究区已完成生产测试的4口井进行SVP分析,结果表明反射波系数高的井具有较高的产气能力,说明裂缝可有效沟通储层改造体积,提升单井产量。该项研究为页岩气水平井裂缝评价提供了技术支撑。

关键词: 页岩气, 裂缝, 阵列声波, 反射波, 反射波系数

Abstract: Fracture serves as the important channel for the seepage of oil and gas, and their identification within shale reservoirs presents significant challenges. Considering the heterogeneity and propensity for natural fracture development in the Wufeng Formation and Longmaxi Formation shale reservoirs of the Southern Sichuan Basin, the SVP fracture processing technology has been utilized to identify information from array acoustic wave logging data, thereby assessing the degree of fracture development in the shale reservoirs. The study shows that: The array acoustic wave SVP processing results show a strong consistency with microseismic monitoring events. This technology is capable not only of evaluating the scale of fracture development in shale gas wells in the Southern Sichuan Basin but also, to some extent, assessing the correlation between fractures and the production capacity of shale gas wells. SVP analysis was conducted on four wells in the study area that had undergone production test, and the results indicated that wells with high reflection wave coefficients had higher gas production capabilities. This indicates that fractures can effectively communicate the reservoir modification volume, thereby enhancing the output of single wells. This study provides technical support for the evaluation of fractures in horizontal shale gas wells.

Key words: shale gas, fracture, array acoustic wave, reflected wave, reflected wave coefficient

中图分类号:

TE122

梁旭升. 阵列声波SVP技术在川南页岩气水平井裂缝识别中的应用[J]. 特种油气藏, 2025, 32(2): 59-65.

LIANG Xusheng. Application of array acoustic wave SVP technology in fracture identification of horizontal shale gas wells in the southern Sichuan Basin[J]. Special Oil & Gas Reservoirs, 2025, 32(2): 59-65.

参考文献

[1] 李新景,胡素云,程克明.北美裂缝性页岩气勘探开发的启示[J].石油勘探与开发,2007,34(4):392-400.
LI Xinjing,HU Suyun,CHENG Keming.Suggestions from the development of fractured shale gas in North America[J].Petroleum Exploration and Development,2007,34(4):392-400.
[2] 温柔,杨学武,刘东明,等.近远井测井测试技术综合评价压裂裂缝分布[J].测井技术,2019,43(5):531-535.
WEN Rou,YANG Xuewu,LIU Dongming,et al.Comprehensive evaluation of fracture distribution by near-and far-well logging and monitoring technology[J].Well Logging Technology,2019,43(5):531-535.
[3] 王世谦.页岩气资源开采现状、问题与前景[J].天然气工业,2017,37(6):115-130.
WANG Shiqian.Shale gas exploitation:status,issues and prospects[J].Natural Gas Industry,2017,37(6):115-130.
[4] 位云生,林铁军,于浩,等.基于嵌入黏聚单元法的页岩储层压裂缝网扩展规律[J].天然气工业,2022,42(10):74-83.
WEI Yunsheng,LIN Tiejun,YU Hao,et al.Propagation law of fracture network in shale reservoirs based on the embedded cohesive unit method[J].Natural Gas Industry,2022,42(10):74-83.
[5] 张国栋,庄春喜,黑创.东海西湖凹陷探井储层压后缝高评价新方法[J].石油钻探技术,2016,44(5):122-126.
ZHANG Guodong,ZHUANG Chunxi,HEI Chuang.New techniques for fracture height determination in exploration wells drilled in the Xihu Sag,East China Sea[J].Petroleum Drilling Techniques,2016,44(5):122-126.
[6] 林永茂,缪尉杰,刘林,等.中江气田致密砂岩体积压裂应用[J].西南石油大学学报(自然科学版),2022,44(3):148-156.
LIN Yongmao,MIAO Weijie,LIU Lin,et al.Volume fracturing application of tight sandstone in Zhongjiang Gasfield[J].Journal of Southwest Petroleum University(Science & Technology Edition),2022,44(3):148-156.
[7] 段银鹿,李倩,姚韦萍.水力压裂微地震裂缝监测技术及其应用[J].断块油气田,2013,20(5):644-648.
DUAN Yinlu,LI Qian,YAO Weiping.Microseismic fracture monitoring technology of hydraulic fracturing and its application[J].Fault-Block Oil & Gas Field,2013,20(5):644-648.
[8] 吴晓光,李阳兵,章文达,等.利用横波各向异性评价含煤页岩气储层压裂缝高度:以新场地区须家河组五段为例[J].工程地球物理学报,2017,14(4):468-474.
WU Xiaoguang,LI Yangbing,ZHANG Wenda,et al.The application of shear wave anisotropy to hydraulic fracture height evaluation in coal-bearing shale gas reservoir:a case study in the 5th Member of Xujiahe Formation in Xinchang Area[J].Chinese Journal of Engineering Geophysics,2017,14(4):468-474.
[9] 隋微波,刘荣全,崔凯.水力压裂分布式光纤声波传感监测的应用与研究进展[J].中国科学:技术科学,2021,51(4):371-387.
SUI Weibo,LIU Rongquan,CUI Kai.Application and research progress of distributed optical fiber acoustic sensing monitoring for hydraulic fracturing[J].Science in China.Technical Science,2021,51(4):371-387.
[10] 武绍江,王一博,梁兴,等.页岩气储层水平井压裂分布式光纤邻井微振动监测及震源位置成像[J].地球物理学报,2022,65(7):2756-2765.
WU Shaojiang,WANG Yibo,LIANG Xing,et al.Distributed fiber optic micro-vibration monitoring in offset-well and microseismic source location imaging during horizontal well fracturing in shale gas reservoir[J].Chinese Journal of Geophysics,2022,65(7):2756-2765.
[11] 梁兴,王一博,武绍江,等.基于分布式光纤同井微振动监测数据的页岩气水平井压裂微地震震源位置成像[J].地球物理学报,2022,65(12):4846-4857.
LIANG Xing,WANG Yibo,WU Shaojiang,et al.Microseismic source location imaging using in-well distributed fiber-optic monitoring data during horizontal well fracturing in shale gas reservoir[J].Chinese Journal of Geophysics,2022,65(12):4846-4857.
[12] 窦伟坦,侯雨庭.利用偶极声波测井进行储层压裂效果评价[J].中国石油勘探,2007,12(3):58-63.
DOU Weitan,HOU Yuting.Evaluation on fracturing effect of reservoirs based on dipole sonic logging[J].China Petroleum Exploration,2007,12(3):58-63.
[13] 陈斌,蔺敬旗,李兆春,等.阵列声波测井在页岩油体积压裂效果评价中的应用[J].断块油气田,2021,28(4):550-554.
CHEN Bin,LIN Jingqi,LI Zhaochun,et al.Application of array acoustic logging in shale oil volume fracturing effect evaluation[J].Fault-Block Oil & Gas Field,2021,28(4):550-554.
[14] 黑创,罗明璋,邹骁.基于井孔散射波能量的水力压裂效果评价方法[J].长江大学学报(自然科学版),2021,18(3):14-20.
HEI Chuang,LUO Mingzhang,ZOU Xiao.Evaluation methods of the hydraulic fracturing effect based on the energy of borehole scattered wave[J].Journal of Yangtze University (Natural Science Edition),2021,18(3):14-20.
[15] 陈顺,黄庭芳,刘恩儒.岩石物理学[M].合肥:中国科学技术大学出版社,2009:118-119.
CHEN Shun,HUANG Tingfang,LIU Enru.Rock physics[M].Hefei:Press of University of Science and Technology of China,2009:118-119.
[16] 魏周拓,陈雪莲,范宜仁,等.井旁裂缝的声场模拟及反射波提取方法[J].石油地球物理勘探,2010,45(5):748-756.
WEI Zhoutuo,CHEN Xuelian,FAN Yiren,et al.Sonic field simulation for borehole-side fracture and reflection wave extraction method[J].Oil Geophysical Prospecting,2010,45(5):748-756.
[17] 伍先运,王克协,郭立,等.利用声全波测井资料求取储层渗透率的方法与应用研究[J].地球物理学报,1995,38(增刊1):224-231.
WU Xianyun,WANG Kexie,GUO Li,et al.Inversion of permeability from the full waveform acoustic logging data[J].Chinese Journal of Geophysics,1995,38(S1):224-231.
[18] 高坤,陶果,王兵.利用斯通利波计算地层渗透率的方法及应用[J].测井技术,2005,29(6):507-510,571.
GAO Kun,TAO Guo,WANG Bing.Algorithm for formation permeability from stoneley wave logs and its field application[J].Well Logging Technology,2005,29(6):507-510,571.
[19] 杨雪冰.斯通利波反演储层渗透率的方法研究[D].杭州:浙江大学,2008.
YANG Xuebing.Research on the method of Stoneley wave inversion reservoir permeability[D].Hangzhou:Zhejiang University,2008.
[20] 唐晓明,郑传汉.定量测井声学[M].北京:石油工业出版社,2004:178-252.
TANG Xiaoming,ZHENG Chuanhan.Quantitative logging acoustics[M].Beijing:Petroleum Industry Press,2004:178-252.
[21] 许孝凯,陈雪莲,范宜仁,等.斯通利波影响因素分析及渗透率反演[J].中国石油大学学报(自然科学版),2012,36(2):97-104.
XU Xiaokai,CHEN Xuelian,FAN Yiren,et al.Influence factors of Stoneley wave and permeability inversion of formation[J].Journal of China University of Petroleum(Edition of Natural Sciences),2012,36(2):97-104.
[22] 陈刚,潘保芝.利用斯通利波反演地层渗透率[J].吉林大学学报(地球科学版),2010,40(增刊1):77-81.
CHEN Gang,PAN Baozhi.Inversion method of permeability using Stoneley wave[J].Journal of Jilin University(Earth Science Edition),2010,40(S1):77-81.
[23] 杨帆,章成广,范姗姗,等.利用斯通利波评价裂缝性致密砂岩储层的渗透性[J].石油天然气学报,2012,34(4):88-92,167.
YANG Fan,ZHANG Chengguang,FAN Shanshan,et al.Evaluating the permeability of fractured tight sandstone reservoirs with Stoneley wave[J].Journal of Oil and Gas Technology,2012,34(4):88-92,167.