威荣深层页岩气田开发水平井测试选段技术研究

doi:10.13809/j.cnki.cn32-1825/te.2021.01.012

摘要/Abstract

摘要：

国内外成功开发的经验表明,压裂改造是实现页岩气开发的重要步骤,而测试选段是压裂改造前期工作中最为关键的一步,选段好坏决定着压裂改造的效果。以威荣页岩气田平台井为研究对象,根据前期评价井和后期开发井基础资料的特征,结合测试选段原则,对后期开发井的选段思路进行深化,并从轨迹、地质、工程、裂缝预测四大方面对开发井资料进行合理利用,形成以轨迹穿行评价、地质参数评价、工程参数评价、裂缝预测、综合分段“五步法”的页岩气水平井地质—工程一体化测试选段技术。使用该项技术开发井的测试无阻流量较前期评价井提高1~2倍,节约40 %方案时间。现场试验表明,该技术对提高深层页岩气的效益开发具有一定的借鉴。

关键词: 威荣页岩气田, 测试选段, 水平井, 效益开发, 非常规

Abstract:

The successful development experience at home and abroad shows that fracturing is an important step to realize shale gas development, and testing selection is the most critical step in the preliminary work of fracturing. The quality of the selection determines the effect of fracturing. Taking Weirong Shale Gas Field platform wells as the research object, according to the characteristics of the basic data of the early evaluation wells and the later development wells, and combined with the principle of testing selection, the later development well selection ideas are deepened. And the development well data is rationally utilized from four aspects, which are the trajectory, geology, engineering and fracture prediction, forming a geological-engineering integration technology of shale gas horizontal well testing selection in “five steps” of trajectory evaluation, geological parameter evaluation, engineering parameter evaluation, fracture prediction, and comprehensive segmentation. The test open flow rate of development wells obtained by this technology is increased by about 1~2 times compared with the previous evaluation wells, saving 40 % of the project time. Field tests show that this technology has certain guiding significance for improving the beneficial development of deep shale gas.

Key words: Weirong Shale Gas Field, test section selection, horizontal well, benefit development, unconventional

中图分类号:

TE37

王浩宇,熊亮,史洪亮等. 威荣深层页岩气田开发水平井测试选段技术研究[J]. 油气藏评价与开发, 2021, 11(1): 86-94.

Haoyu Wang,Liang Xiong,Hongliang Shi, et al. Testing and selection techniques of horizontal wells in Weirong Shale Gas Field[J]. Reservoir Evaluation and Development, 2021, 11(1): 86-94.

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参考文献 21

[1]	马永生, 蔡勋育, 赵培荣. 中国页岩气勘探开发理论认识与实践[J]. 石油勘探与开发, 2018,45(4):561-574.
	Ma Yongsheng, Cai Xunyu, Zhao Peirong. China’s shale gas exploration and development: Understanding and practice[J]. Petroleum Exploration and Development, 2018,45(4):561-574.
[2]	马新华, 谢军. 川南地区页岩气勘探开发进展及发展前景[J]. 石油勘探与开发, 2018,45(1):161-169.
	Ma Xinhua, Xie Jun. The progress and prospects of shale gas exploration and exploitation in southern Sichuan Basin, NW China[J]. Petroleum Exploration and Development, 2018,45(1):161-169.
[3]	董大忠, 王玉满, 李新景, 等. 中国页岩气勘探开发新突破及发展前景思考[J]. 天然气工业, 2016,36(1):19-32.
	Dong Dazhong, Wang Yuman, Li Xinjing, et al. Breakthrough and prospect of shale gas exploration and development in China[J]. Natural Gas Industry, 2016,36(1):19-32.
[4]	马永生, 冯建辉, 牟泽辉, 等. 中国石化非常规油气资源潜力及勘探进展[J]. 中国工程科学, 2012,14(6):22-30.
	Ma Yongsheng, Feng Jianhui, Mou Zehui, et al. The potential and exploring progress of unconventional hydrocarbon resources in SINOPEC[J]. Strategic Study of CAE, 2012,14(6):22-30.
[5]	Algeo T J, Lyons Y W. Mo-total organic carbon covariation in modern anoxic marine environments: Implications for analysis of paleoredox and paleohydrographic conditions[J]. Paleoceanography, 2006,21:1-23.
[6]	Curtis M E, Sondergeld C H, Ambrose R J, et al. Microstructural investigation of gas shales in two and three dimensions using nanometer-scale resolution imaging[J]. AAPG Bulletin, 2012,96(4):665-677. doi: 10.1306/08151110188
[7]	石强, 陈鹏, 王秀芹, 等. 页岩气水平井高产层识别方法及其应用:以四川盆地威远页岩示范区下志留统龙马溪组为例[J]. 天然气工业, 2017,37(1):60-65.
	Shi Qiang, Chen Peng, Wang Xiuqin, et al. A method for identifying high-productivity intervals in a horizontal shale gas well and its application: A case study of the Lower Silurian Longmaxi Fm in Weiyuanshale gas demonstration area, Sichuan Basin[J]. Natural Gas Industry, 2017,37(1):60-65.
[8]	靳宝军. 梨树断陷储层改造选井选层研究[J]. 油气井测试, 2014,23(4):18-23.
	Jin Baojun. Research on well selection and layer selection for reservoir reformation in Lishu fault depression[J]. Well Testing, 2014,23(4):18-23.
[9]	段文燊, 吴朝容, 石磊, 等. 川西须二段测录井特征与测试选层研究[J]. 石油天然气学报, 2011,33(6):86-91.
	Duan Wenshen, Wu Chaorong, Shi Lei, et al. Research on logging characteristics and testing layer selection in the second member of Xujiahe Formation in western Sichuan[J]. Journal of Oil and Gas Technology, 2011,33(6):86-91.
[10]	Zhao Z H, Wu K D, Fan Y, et al. An optimization model for conductivity of hydraulic fracture networks in the Longmaxi shale, Sichuan basin, Southwest China[J]. Energy Geoscience, 2020,1(1-2):47-54. doi: 10.1016/j.engeos.2020.05.001
[11]	袁发勇. 地层测试资料在措施选层中的应用[J]. 江汉石油职工大学学报, 2013,26(6):24-27.
	Yuan Fayong. On application of formation testing data in selected zone by measures[J]. Journal of Jianghan Petroleum University of Staff and Workers, 2013,26(6):24-27.
[12]	王玉芳, 翟刚毅, 王劲铸, 等. 四川盆地及周缘龙马溪组页岩产气效果影响因素[J]. 地质力学学报, 2017,23(4):540-547.
	Wang Yufang, Zhai Gangyi, Wang Jinzhu, et al. Factors influencing gas production effectiveness of Longmaxi formation shale in Sichuan basin andadjacent areas[J]. Journal of Geomechanics, 2017,23(4):540-547.
[13]	郭伟. 四川威远区块页岩气水平井产量差异分析[J]. 科学技术与工程, 2018,18(1):228-233.
	Guo Wei. Analysis on production variation of shale gas horizontal wells in Weiyuan Block, Sichuan[J]. Science Technology and Engineering, 2018,18(1):228-233.
[14]	朱筱敏, 潘荣, 朱世发, 等. 致密储层研究进展和热点问题分析[J]. 地学前缘, 2018,25(2):141-146.
	Zhu Xiaomin, Pan Rong, Zhu Shifa, et al. Research progress and core issues in tight reservoir exploration[J]. Earth Science Frontiers, 2018,25(2):141-146.
[15]	黎铖, 蔡军, 张君子, 等. 赛东洼槽碎屑岩储集层压裂录井选层方法[J]. 录井工程, 2018,29(4):13-19.
	Li Cheng, Cai Jun, Zhang Junzi, et al. Mud logging optimizing horizon for fracturing clastic rock reservoir in Saidong trough[J]. Mud Logging Engineering, 2018,29(4):13-19.
[16]	Zheng H R, Zhang J C, Qi Y C. Geology and geomechanics of hydraulic fracturing in the Marcellus shale gas play and their potential applications to the Fuling shale gas development[J]. Energy Geoscience, 2020,1(1-2):36-46. doi: 10.1016/j.engeos.2020.05.002
[17]	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.
	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 Field, 2014,21(6):716-721.
[18]	Randen T, Perdensen S I, Sønneland L. Automatic extraction of fault surfaces from three-dimensional seismic data[C]// paper SEG-2001-0551 presented at the SEG Annual Meeting, 9-14 September, 2001, San Antonio, Texas, United States.
[19]	史刘秀, 王静波, 张如伟, 等. 复值相干模量蚂蚁体技术[J]. 断块油气田, 2015,22(5):545-549.
	Shi Liuxiu, Wang Jingbo, Zhang Ruwei, et al. Ant tracking technology based on complex-valued coherence[J]. Fault-Block Oil & Gas Field, 2015,22(5):545-549.
[20]	梁宇涛, 刘鹏程, 冯高城. 基于蚂蚁追踪技术的裂缝型储层建模方法[J]. 复杂油气藏, 2014,7(3):11-15.
	Liang Yutao, Liu Pengcheng, Feng Gaocheng. Modeling of fractured reservoirs based on ant tracking technology[J]. Complex Hydrocarbon Reservoirs, 2014,7(3):11-15.
[21]	杨瑞召, 李洋, 庞海玲, 等. 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.
	Yang Ruizhao, Li Yang, Pang Hailing, et al. Prediction technology of micro fractures by occurrence-controlled ant body and its application[J]. Coal Geology & Exploration, 2013,41(2):72-75.

项目	前期评价井	后期开发井
录井	钻时、密度、全烃、C₁、特殊录井（元素、地化、矿物录井、岩心扫描）	钻时、密度、全烃、C₁、特殊录井（元素）
测井（三开）	随钻测井（自然伽马—带方位伽马、密度）标准测井（伽马能谱、补偿声波、补偿中子、高分辨率阵列感应、双井径、井斜、方位）工程测井（自然伽马、声幅、变密度、磁定位）特殊测井（偶极声波、岩性扫描、FMI）	随钻测井（自然伽马—带方位伽马）标准测井（自然伽马、阵列感应、双井径）工程测井（套管伽马、声幅变密度、磁定位）特殊测井（偶极声波）
岩心、岩屑	岩心描述、实验分析数据	岩屑次生矿物
地震	地震剖面、曲率剖面、脆性剖面、DHSR剖面	使用蚂蚁体追踪技术
其他	异常工况、水平段钻遇小层数据	异常工况、水平段钻遇小层数据

井深（m）	垂深（m）	距五峰顶距离（m）	距五峰底距离（m）	备注
3 745	3 616.08	15.7	20.1	3²顶
3 813	3 625.00	5.0	9.4	2顶
3 900	3 623.19	3.7	8.1	2中
4 300	3 609.70	3.7	8.1	2中
4 600	3 602.10	2.9	7.3	2下
4 800	3 594.92	3.7	8.1	2中
5 200	3 580.17	4.8	9.2	2上

项目	识别	分级	图充填颜色
实钻断裂、裂缝	岩屑次生矿物、气测显示、声波跳跃、地层连续性等	Ⅰ级	红色
蚂蚁体	表征裂缝发育区	Ⅱ级	橙色

分段	顶深（m）	底深（m）	层厚（m）	轨迹位置	裂缝预测	综合评价	备注
1	3 953	4 073	120	3²-2		Ⅱ类	高应力段
2	4 073	4 175	102	2	4 130~4 132 m（实钻1级）	Ⅰ类	实钻裂缝段
3	4 175	4 205	30	2	4 175~4 205 m（蚂蚁体预测2级）	Ⅰ类	预测裂缝区
4	4 205	4 295	90	2		Ⅰ类
5	4 295	4 371	76	2		Ⅰ类
6	4 371	4 490	119	2		Ⅰ类
7	4 490	4 530	40	2	4 490~4 530 m（蚂蚁体预测2级）	Ⅰ类	预测裂缝区
8	4 530	4 890	360	2		Ⅰ类
9	4 890	4 951	61	1		Ⅱ类	钻遇五峰组、套变段
10	4 951	4 990	39	2	4 975~4 990 m（蚂蚁体预测2级）	Ⅰ类	预测裂缝区
11	4 990	5 229	239	2		Ⅰ类
12	5 229	5 545	316	2		Ⅰ类

项目	耗时（d）		较前期提升（%）
项目	前期评价井	后期开发井	较前期提升（%）
资料收集	5	3.5	30.0
数据处理	8	5.0	37.5
分段思路	3	1.5	50.0
材料编写	4	2.0	50.0
合计	20	12.0	40.0