长宁页岩地层井下复杂及裂缝三维展布规律研究

doi:10.11885/j.issn.16745086.2021.04.29.05

摘要/Abstract

摘要： 长宁区块龙马溪组页岩气储量丰富，是中国石油天然气资源增产上产的重要支撑点。但长宁区块页岩储层钻井中井漏、阻卡事故频发，阻碍了该地区页岩气资源效益化开发进程。通过梳理长宁区块重点井区已钻井工程复杂信息数据，基于区块三维地震数据体利用蚂蚁追踪方法预测了页岩地层裂缝发育及三维空间展布规律，对比研究了井漏与裂缝发育之间响应关系，为长宁区块龙马溪组页岩水平钻井井下复杂预警及安全钻井奠定基础。研究结果表明，基于蚂蚁体的裂缝预测方法在长宁区块应用效果较好，井漏复杂与裂缝预测结果响应度高，裂缝发育、斜交缝与层理缝交叉贯通是诱发井漏事故的主要原因。茅口组-五峰组页岩裂缝发育具有三维空间差异性，构造高部位、大断层附近裂缝发育，岩体较为破碎，井漏复杂更为突出。研究成果解释了长宁区块井下复杂的主要原因，预测了长宁区块裂缝三维展布规律，可为长宁区块后期井下复杂预测及防治措施的制定提供科学依据。

关键词: 蚂蚁体, 裂缝预测, 井下复杂, 长宁区块, 龙马溪组页岩

Abstract: The Changning Block is rich in shale gas reserves in the Longmaxi Formation and is an important support point for China's oil and gas resources to increase production. However, the frequent occurrence of well leaks and blocking accidents in the drilling of shale reservoirs in the Changning Block has hindered the process of beneficial development of shale gas resources in the area. By combing the complex information data of drilled wells in the key well areas of the Changning Block, the ant-tracking method was used to predict the fracture development and 3D spatial spreading pattern of the shale formation based on the 3D seismic data body of the block, and the response relationship between well leakage, jamming complexity and fracture development was comparatively studied to lay the foundation for early warning and safe drilling of horizontal shale drilling wells in the Longmaxi Formation of the Changning Block. The results show that the fracture prediction method based on ant body is better applied in the Changning Block, the response between well leakage complexity and fracture prediction results is high, and fracture development, cross penetration of oblique intersection and laminated joints are the main causes of well leakage and jamming accidents. The fracture development in the shale of the Maokou and Wufeng Formations has threedimensional spatial variability, and the well leakage and jamming complexity is more prominent in the high tectonic areas and near large faults where fractures are developed and the rock is more fragmented. The results of the study explain the causes of well leakage and blocking complexities in the Changning Block and predict the three-dimensional fracture spreading pattern in the Changning Block, which can provide a scientific basis for the prediction of downhole complexities and the formulation of prevention and control measures in the Changning Block at a later stage.

Key words: ant body, fracture prediction, downhole complex, Changning Block, Longmaxi Formation shale

中图分类号:

TE21

刘厚彬, 于兴川, 张震, 万秀梅, 孙航瑞. 长宁页岩地层井下复杂及裂缝三维展布规律研究[J]. 西南石油大学学报(自然科学版), 2021, 43(4): 208-218.

LIU Houbin, YU Xingchuan, ZHANG Zhen, WAN Xiumei, SUN Hangrui. A Study on Downhole Complex and Three Dimensional Distribution of Fractures in Changning Shale Formation[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2021, 43(4): 208-218.

0
/ / 推荐

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://journal15.magtechjournal.com/Jwk_xnzk/CN/10.11885/j.issn.16745086.2021.04.29.05

http://journal15.magtechjournal.com/Jwk_xnzk/CN/Y2021/V43/I4/208

参考文献

[1] 刘厚彬,崔帅,孟英峰,等. 川西硬脆性页岩力学特征及井壁稳定性研究[J]. 西南石油大学学报(自然科学版), 2019, 41(6):60-67. doi:10.11885/j.issn.1674-5086.2019.09.17.10 LIU Houbin, CUI Shuai, MENG Yingfeng, et al. Study on mechanical characteristics and wellbore stability of hard brittle shale in Western Sichuan[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2019, 41(6):60-67. doi:10.11885/j.issn.1674-5086. 2019.09.17.10
[2] 范宇,王佳珺,刘厚彬,等. 泸州区块全井段地层力学性能及井壁稳定性[J]. 科学技术与工程,2020,20(16):6433-6439. doi:10.3969/j.issn.1671-1815.2020.16.019 FAN Yu, WANG Jiajun, LIU Houbin, et al. Formation mechanical properties and wellbore stability of the whole well section in Luzhou Block[J]. Science Technology and Engineering, 2020, 20(16):6433-6439. doi:10.3969/j.issn.1671-1815.2020.16.019
[3] 周新桂,操成杰,袁嘉音. 储层构造裂缝定量预测与油气渗流规律研究现状和进展[J]. 地球科学进展, 2003, 18(3):398-404. doi:10.3321/j.issn:1001-8166.2003.03.012 ZHOU Xingui, CAO Chengjie, YUAN Jiayin. The research actuality and major progresses on the quantitative forecast of reservoir fractures and hydrocarbon migration law[J]. Advance in Earth Sciences, 2003, 18(3):398-404. doi:10.3321/j.issn:1001-8166.2003.03.012
[4] 苏培东,秦启荣,黄润秋. 储层裂缝预测研究现状与展望[J]. 西南石油学院学报, 2005, 27(5):14-17. doi:10.3863/j.issn.1000-2634.2005.05.04 SU Peidong, QIN Qirong, HUANG Runqiu. Prospects and status for the study on reservoir fractures[J]. Journal of Southwest Petroleum Institute, 2005, 27(5):14-17. doi:10.3863/j.issn.1000-2634.2005.05.04
[5] 童亨茂. 成像测井资料在构造裂缝预测和评价中的应用[J]. 天然气工业, 2006, 26(9):58-61. doi:10.3321/-j.issn:1000-0976.2006.09.017 TONG Hengmao. Application of imaging well logging data in prediction of structural fracture[J]. Natural Gas Industry, 2006, 26(9):58-61. doi:10.3321/j.issn:1000-0976.2006.09.017
[6] 贾凌霄,贾家磊,张毅,等. 改进BP神经网络在裂缝预测中的应用[J]. 工程地球物理学报, 2012, 9(3):301-305. doi:10.3969/j.issn.1672-7940.2012.03.010 JIA Lingxiao, JIA Jialei, ZHANG Yi, et al. Application of improved BP neural network in fracture prediction[J]. Chinese Journal of Engineering Geophysics, 2012, 9(3):301-305. doi:10.3969/j.issn.1672-7940.2012.03.010
[7] XIAN Qiang, LIU Yonglei, LÜ Dong, et al. Quantitative pre-stack fracture prediction in carbonates[C]. SEG Technical Program Expanded Abstracts, 2014. doi:10.1190/segam2014-0338.1
[8] CHEN T W, HAFEZ M, MOUSTAFA A, et al. Seismic anisotropy analysis using prestack azimuthal inversion for fracture prediction:A case study in Kuwait[C]. SEG Technical Program Expanded Abstracts, 2018. doi:10.1190/segam2018-2996836.1
[9] GUO Tongcui, WANG Hongjun, GUO Yueliang, et al. Comparison of predicted fractures by three wide-azimuth methods:A shale reservoir fracture prediction case study[C]. SEG Technical Program Expanded Abstracts, 2019. doi:10.1190/segam2019-3214367.1
[10] 于晓东,桂志先,汪勇,等. 叠前AVAZ裂缝预测技术在车排子凸起的应用[J]. 石油地球物理勘探, 2019, 54(3):624-633. doi:10.13810/j.cnki.issn.1000-7210.2019.03.016 YU Xiaodong, GUI Zhixian, WANG Yong, et al. AVAZ fracture prediction applied in Chepaizi Uplift[J]. Oil Geophysical Prospecting, 2019, 54(3):624-633. doi:10.13810/j.cnki.issn.1000-7210.2019.03.016
[11] 陈志刚,马文杰,赵宏忠,等. 利用曲率类属性预测储层裂缝的流程及应用实例[J]. 物探与化探, 2020, 44(5):1201-1207. doi:10.11720/wtyht.2020.1378 CHEN Zhigang, MA Wenjie, ZHAO Hongzhong, et al. A technical workflow of fracture prediction with curvaturerelated attributes and its applications[J]. Geophysical and Geochemical Exploration, 2020, 44(5):1201-1207. doi:10.11720/wtyht.2020.1378
[12] 宋维琪,徐月森,张云银,等. 基于傅里叶级数分析的各向异性参数估计及裂缝预测[J]. 石油物探, 2020, 59(1):108-113. doi:10.3969/j.issn.1000-1441.2020.01.012 SONG Weiqi, XU Yuesen, ZHANG Yunyin, et al. Anisotropy parameter estimation and fracture prediction based on Fourier series analysis[J]. Geophysical Prospecting for Petroleum, 2020, 59(1):108-113. doi:10.3969/j.issn.1000-1441.2020.01.012
[13] 吴胜和. 储层表征与建模[M]. 北京:石油工业出版社, 2010. WU Shenghe. Reservoir characterization & modeling[M]. Beijing:Petroleum Industry Press, 2010.
[14] 童亨茂. 储层裂缝描述与预测研究进展[J]. 新疆石油学院学报,2004(2):9-13. doi:10.3969/j.issn.1673-2677.2004.02.003 TONG Hengmao. Description and prediction of reservoir fractures networks[J]. Journal of Xinjiang Petroleum Institute, 2004(2):9-13. doi:10.3969/j.issn.1673-2677.2004.02.003
[15] 张淑娟,王延斌,梁星如,等. 蚂蚁追踪技术在潜山油藏裂缝预测中的应用[J]. 断块油气田, 2011, 18(1):51-54. ZHANG Shujuan, WANG Yanbin, LIANG Xingru, et al. Application of ant tracking technology in fracture prediction of buried-hill reservoir[J]. Fault Block Oil and Gas Fields, 2011, 18(1):51-54.
[16] 杨瑞召,李洋,庞海玲. 产状控制蚂蚁体预测微裂缝技术及其应用[J]. 煤田地质与勘探, 2013, 41(2):72-75. doi:10.3969/j.issn.1001-1986.2013.02.017 YANG Ruizhao, LI Yang, PANG Hailing. Prediction technology of micro fractures by occurrence-controlled ant body and its application[J]. Coal Geology and Exploration, 2013, 41(2):72-75. doi:10.3969/j.issn.1001-1986.2013.02.017
[17] 徐淼. 基于蚂蚁体追踪的裂缝预测技术在静北地区的应用[J]. 内蒙古石油化工, 2015, 41(23):106-108. doi:10.3969/j.issn.1006-7981.2015.23.042 XU Miao. Application of fracture prediction technology based on ant body tracking in Jingbei Area[J]. Inner Mongolia Petrochemical Industry, 2015, 41(23):106-108. doi:10.3969/j.issn.1006-7981.2015.23.042
[18] 巫波,刘遥,荣元帅,等. 蚂蚁追踪技术在缝洞型油藏裂缝预测中的应用[J]. 断块油气田, 2014, 21(4):453-457. doi:10.6056/dkyqt201404011 WU Bo, LIU Yao, RONG Yuanshuai, et al. Application of ant tracking technology in fracture prediction of fracturedvuggy reservoirs[J]. Fault Block Oil and Gas Fields, 2014, 21(4):453-457. doi:10.6056/dkyqt201404011
[19] 李婷婷,侯思宇,马世忠. 断层识别方法综述及研究进展[J]. 地球物理学进展, 2018, 33(4):1507-1514. doi:10.6038/pg2018BB0311 LI Tingting, HOU Siyu, MA Shizhong. Overview and research progress of fault identification method[J]. Progress in Geophysics, 2018, 33(4):1507-1514. doi:10.6038/pg2018BB0311
[20] 孙乐,王志章,李汉林,等. 基于蚂蚁算法的断裂追踪技术在乌夏地区的应用[J]. 断块油气田, 2014, 21(6):716-721. doi:10.6056/dkyqt201406008 SUN Le, WANG Zhizhang, LI Hanlin, et al. Application of fault tracking technology based on ant colony algorithm in Wuxia Area[J]. Fault-block oil & gas fields, 2014, 21(6):716-721. doi:10.6056/dkyqt201406008
[21] 刘闻,别红霞. 基于蚁群算法的噪声图像边缘检测[J]. 软件,2013,34(12):256-259. doi:10.3969/j.issn.1003-6970.2013.12.070 LIU Wen, BIE Hongxia. Colony optimization algorithm on noisy image edge detection[J]. Computer Engineering & Software, 2013, 34(12):256-259. doi:10.3969/j.issn.1003-6970.2013.12.070
[22] DORIGO M, MANIEZZO V, COLORNI A. Ant system:Optimization by a colony of cooperating agents[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B(Cybernetics), 1996, 26(1):29-41. doi:10.1109/3477.484436