四川盆地东部页岩气水平井裂缝识别方法及应用

彭勇民; 董世雄; 边瑞康; 杜伟; 乔辉; 刘曾勤

doi:10.11781/sysydz2023061196

四川盆地东部页岩气水平井裂缝识别方法及应用

doi: 10.11781/sysydz2023061196

彭勇民^{1, 2, 3,},
董世雄¹,
边瑞康^{1, 2, 3},
杜伟^{1, 2, 3},
乔辉¹,
刘曾勤^{1, 2, 3}

1.
中国石化石油勘探开发研究院, 北京 102206
2.
中国石化页岩油气勘探开发重点实验室, 北京 102206
3.
页岩油气富集机理与高效开发全国重点实验室, 北京 102206

基金项目:

国家科技重大专项 2016ZX05061

中国石化科技部攻关项目 P21087-6

中国石化科技部攻关项目 P21042-3

详细信息

作者简介:
彭勇民(1965—)，男，博士，教授级高级工程师，从事常规与非常规油气勘探与开发研究。E-mail：pengym.syky@sinopec.com

中图分类号: TE37
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- 被引次数: 0
出版历程
- 收稿日期: 2023-09-01
- 修回日期: 2023-10-25
- 刊出日期: 2023-11-28

Method for identification of fractures in shale gas horizontal wells in eastern Sichuan Basin and its application

PENG Yongmin^{1, 2, 3
,},
DONG Shixiong¹,
BIAN Ruikang^{1, 2, 3},
DU Wei^{1, 2, 3},
QIAO Hui¹,
LIU Zengqin^{1, 2, 3}

1.
SINOPEC Petroleum Exploration and Production Research Institute, Beijing 102206, China
2.
SINOPEC Key Laboratory of Shale Oil/Gas Exploration and Production Technology, Beijing 102206, China
3.
State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Efficient Development, Beijing 102206, China

摘要

摘要:
根据地质(岩心)、成像测井、测井评价、地震预测等资料，利用四川盆地东部南川—武隆地区裂缝与气测关系，研究了页岩气水平井裂缝的识别方法。针对该区岩心、成像测井缺乏和页岩气水平井的天然裂缝难识别，首先从地质上通过直井建立起岩心尺度级别的页岩天然裂缝识别模式，岩心高角度裂缝的发育与全烃异常高值、尖峰较为吻合；其次，结合裂缝识别模式，基于全烃信息可快速、低成本定性识别出无取心直井裂缝发育层段，在裂缝发育段中会出现全烃值突增的现象，特别是低有机碳含量(TOC)的页岩段，全烃值的突增代表着裂缝的存在；最后，利用TOC值与归一化全烃相关性图版法，定量识别无取心、无成像测井资料的直井与水平井裂缝段，将归一化全烃值大于等于0.4、TOC值大于等于0.5%所圈定的区域作为水平井裂缝发育段。基于识别出的水平井裂缝段，从地质—工程一体化角度出发，压裂时可提前避开或注意这些密集发育的大型或巨型裂缝，从而提高单井产量。
- 天然裂缝 /
- 归一化全烃 /
- 图版法 /
- 水平井 /
- 页岩气 /
- 四川盆地东部
Abstract:
The relationship between fractures and gas logging in Nanchuan-Wulong area in eastern Sichuan Basin is utilized to study the identification of fractures in shale gas horizontal wells based on geological (core), imaging logging, logging evaluation, seismic prediction, and other data. First, to solve the problems of lack of core and imaging logging and difficulty in identifying natural fractures in shale gas horizontal wells, a core scale shale natural-fracture identification model is established through vertical wells from a geological perspective in this paper, and the development of high angle fractures in the core is consistent with the high values and peaks of total hydrocarbon anomalies. Second, in combination with the fracture identification mode, the fracture development section of non-coring vertical wells can be quickly and qualitatively identified at a low cost based on total hydrocarbon information. There will be a sudden increase in the total hydrocarbon value in the fracture development section, especially in the shale section with low total organic carbon (TOC). The sudden increase in the total hydrocarbon value also represents the existence of fractures. Finally, the plate method of TOC and normalized total hydrocarbon correlation is used to quantitatively identify vertical and horizontal well fracture sections without coring and imaging logging data. The area delineated by a normalized total hydrocarbon value ≥0.4 and TOC ≥0.5% are considered as the fracture development section of a horizontal well. Based on the identified horizontal well fracture section, from the perspective of geological engineering integration, it is possible to avoid or pay attention to these densely developed large or giant fractures in advance, thereby increasing the production of a single well.
- natural cracks /
- normalized total hydrocarbon /
- plate method /
- horizontal well /
- shale gas /
- eastern Sichuan Basin
注释:

利益冲突声明/Conflict of Interests

所有作者声明不存在利益冲突。

All authors disclose no relevant conflict of interests.

作者贡献/Authors’Contributions

董世雄参与图表制作和资料收集；彭勇民、边瑞康、杜伟、乔辉、刘曾勤参与论文写作和修改。所有作者均阅读并同意最终稿件的提交。

DONG Shixiong participated in chart preparation and data acquisition. PENG Yongmin, BIAN Ruikang, DU Wei, QIAO Hui, and LIU Zengqin participated in the writing and revision of the paper. All authors have read and agree to the submission of the final manuscript.

HTML全文

图 1 四川盆地东部南川—武隆地区不同钻井五峰组—龙马溪组下部岩心裂缝观察与成像测井裂缝特征

Figure 1. Observation and imaging logging characteristics of fractures in lower cores of Wufeng-Longmaxi formations in different wells in Nanchuan-Wulong area in eastern Sichuan Basin

下载: 全尺寸图片幻灯片

图 2 四川盆地东部南川—武隆地区不同钻井五峰组—龙马溪组下部页岩裂缝发育模式

Figure 2. Development patterns of lower shale fractures of Wufeng-Longmaxi formations in different wells in Nanchuan-Wulong area in eastern Sichuan Basin

下载: 全尺寸图片幻灯片

图 3 四川盆地东部南川—武隆地区不同钻井五峰组—龙马溪组下部页岩裂缝定性识别

Figure 3. Qualitative identification of lower shale fractures of Wufeng-Longmaxi formations in different wells in Nanchuan-Wulong area in eastern Sichuan Basin

下载: 全尺寸图片幻灯片

图 4 四川盆地东部南川—武隆地区多口钻井五峰组—龙马溪组下部页岩TOC与全烃散点图或图版

Figure 4. TOC and total hydrocarbon scatter map or plate of lower shale of Wufeng-Longmaxi formations in multiple wells in Nanchuan-Wulong area in eastern Sichuan Basin

下载: 全尺寸图片幻灯片

图 5 四川盆地东部南川—武隆地区SY1井定量识别五峰组—龙马溪组下部页岩裂缝柱状图

Figure 5. Quantitative identification of lower shale fractures of Wufeng-Longmaxi formations of well SY1 in Nanchuan-Wulong area in eastern Sichuan Basin

下载: 全尺寸图片幻灯片

图 6 四川盆地东部南川—武隆地区水平井五峰组—龙马溪组下部页岩裂缝识别

Figure 6. Identification of lower shale fractures of Wufeng-Longmaxi formations of horizontal wells in Nanchuan-Wulong area in eastern Sichuan Basin

下载: 全尺寸图片幻灯片

表 1 四川盆地东部南川—武隆地区多口井五峰组—龙马溪组下部异常全烃值与岩心TOC含量统计示意

Table 1. Statistics of abnormal total hydrocarbon values and core TOC for lower parts of Wufeng-Longmaxi formations in multiple wells in Nanchuan-Wulong area in eastern Sichuan Basin

钻井	深度/m	全烃/%	ω(TOC)/%	分层	岩性	备注
A井	2 741	4.74	1.01	⑧小层	页岩	裂缝段
A井	2 750	5.56	1.33	⑧小层	页岩	裂缝段
A井	2 764	6.45	1.29	⑦小层	含粉砂页岩	裂缝段
A井	2 768	6.11	1.16	⑦小层	含粉砂页岩	裂缝段
A井	2 785	5.11	1.49	⑦小层	含粉砂页岩	裂缝段
A井	2 860	11.06	1.06	⑥小层	粉砂质页岩	裂缝段
A井	2 863	11.35	1.63	⑥小层	粉砂质页岩	裂缝段
…	…	…	…	⑥小层	…	…
B井	3 438	6.00	1.89	⑤小层	页岩	裂缝段
B井	3 445	8.48	2.01	⑤小层	页岩	裂缝段
B井	3 456	6.68	2.91	④小层	碳质页岩	裂缝段

下载: 导出CSV

参考文献(18)

[1]	黄振华, 程礼军, 刘俊峰, 等. 微电阻率成像测井在识别页岩岩相与裂缝中的应用[J]. 煤田地质与勘探, 2015, 43(6): 121-123. https://www.cnki.com.cn/Article/CJFDTOTAL-MDKT201506026.htm HUANG Zhenhua, CHENG Lijun, LIU Junfeng, et al. Application of micro-resistivity image logging in identifying shale facies and fractures[J]. Coal Geology & Exploration, 2015, 43(6): 121-123. https://www.cnki.com.cn/Article/CJFDTOTAL-MDKT201506026.htm
[2]	刘之的, 赵靖舟. 鄂尔多斯盆地长7段油页岩裂缝测井定量识别[J]. 天然气地球科学, 2014, 25(2): 259-265. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201402015.htm LIU Zhidi, ZHAO Jingzhou. Recognizing oil shale fracture of Chang 7 member in Ordos Basin using logging data[J]. Natural Gas Geoscience, 2014, 25(2): 259-265. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201402015.htm
[3]	刘伟, 梁兴, 姚秋昌, 等. 四川盆地昭通区块龙马溪组页岩气"甜点"预测方法及应用[J]. 石油地球物理勘探, 2018, 53(S2): 211-217. https://www.cnki.com.cn/Article/CJFDTOTAL-SYDQ2018S2032.htm LIU Wei, LIANG Xing, YAO Qiuchang, et al. Shale-gas sweet spot identification in Longmaxi, Sichuan Basin[J]. Oil Geophysical Prospecting, 2018, 53(S2): 211-217. https://www.cnki.com.cn/Article/CJFDTOTAL-SYDQ2018S2032.htm
[4]	王海方. 苏北盆地古近系页岩油储层有效裂缝识别[J]. 西南石油大学学报(自然科学版), 2016, 38(3): 21-27. https://www.cnki.com.cn/Article/CJFDTOTAL-XNSY201603003.htm WANG Haifang. Recognition of effective fractures within the oil shale in the fourth member of Funing Formation in northern Jiangsu Basin[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2016, 38(3): 21-27. https://www.cnki.com.cn/Article/CJFDTOTAL-XNSY201603003.htm
[5]	徐敬领, 牛静怡, 王晓光. 泥页岩储层裂缝识别与发育程度表征方法及装置: 中国, 111175844A[P]. 2020-05-19. XU Jingling, NIU Jingyi, WANG Xiaoguang. The shale development degree of reservoir fracture identification and characterization of method and device: CN, 111175844A[P]. 2020-05-19.
[6]	黄继新, 彭仕宓, 王小军, 等. 成像测井资料在裂缝和地应力研究中的应用[J]. 石油学报, 2006, 27(6): 65-69. https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB200606013.htm HUANG Jixin, PENG Shimi, WANG Xiaojun, et al. Applications of imaging logging data in the research of fracture and ground stress[J]. Acta Petrolei Sinica, 2006, 27(6): 65-69. https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB200606013.htm
[7]	唐晓明, 李盛清, 许松, 等. 页岩气藏水平测井裂缝识别及声学成像研究[J]. 测井技术, 2017, 41(5): 501-505. https://www.cnki.com.cn/Article/CJFDTOTAL-CJJS201705001.htm TANG Xiaoming, LI Shengqing, XU Song, et al. Acoustic characte-rization and imaging of shale gas fractures in horizontal wells: field case study in the Sichuan Basin of Southwest China[J]. Well Logging Technology, 2017, 41(5): 501-505. https://www.cnki.com.cn/Article/CJFDTOTAL-CJJS201705001.htm
[8]	车世琦. 四川盆地涪陵地区页岩裂缝测井定量识别[J]. 特种油气藏, 2017, 24(6): 72-78. https://www.cnki.com.cn/Article/CJFDTOTAL-TZCZ201706014.htm CHE Shiqi. Quantitative identification of shale fractures with logging in Fuling of Sichuan Basin[J]. Special Oil and Gas Reservoirs, 2017, 24(6): 72-78. https://www.cnki.com.cn/Article/CJFDTOTAL-TZCZ201706014.htm
[9]	罗利, 王勇军, 谢刚, 等. 一种页岩气微裂缝测井识别方法: 中国, 109870720A[P]. 2019-06-11. LUO Li, WANG Yongjun, XIE Gang, et al. A logging identification method for shale gas microfractures: CN, 109870720A[P]. 2019-06-11.
[10]	姚东华, 赵贤正, 周立宏, 等. 一种细粒沉积陆相页岩裂缝识别评价方法: 中国, 110847887A[P]. 2020-02-28. YAO Donghua, ZHAO Xianzheng, ZHOU Lihong, et al. A method for identifying and evaluating fractures in fine-grained sedimentary continental shale: CN, 110847887A[P]. 2020-02-28.
[11]	赖富强, 夏炜旭, 龚大建, 等. 基于小波高频属性的泥页岩裂缝测井识别方法研究[J]. 地球物理学进展, 2020, 35(1): 124-131. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ202001017.htm LAI Fuqiang, XIA Weixu, GONG Dajian, et al. Logging identification method of mud shale fractures based on wavelet high frequency attribute[J]. Progress in Geophysics, 2020, 35(1): 124-131. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ202001017.htm
[12]	王飞, 程礼军, 刘俊峰, 等. 叠后地震属性识别页岩气储层裂缝研究及应用[J]. 煤田地质与勘探, 2015, 43(5): 113-116. https://www.cnki.com.cn/Article/CJFDTOTAL-MDKT201505026.htm WANG Fei, CHENG Lijun, LIU Junfeng, et al. Research and application of post-stack seismic attributes in recognizing shale gas reservoir fracture[J]. Coal Geology & Exploration, 2015, 43(5): 113-116. https://www.cnki.com.cn/Article/CJFDTOTAL-MDKT201505026.htm
[13]	董清源, 陈勇, 田建华, 等. 裂缝与断层的预测方法及系统: 中国, 110954958A[P]. 2020-04-03. DONG Qingyuan, CHEN Yong, TIAN Jianhua, et al. Fracture and fault prediction method and system: CN, 110954958A[P]. 2020-04-03.
[14]	陆亚秋, 王进, 曹梦茜. 基于改进的层次分析法的页岩气开发选区评价方法[J]. 油气藏评价与开发, 2021, 11(2): 204-211. https://www.cnki.com.cn/Article/CJFDTOTAL-KTDQ202102009.htm LU Yaqiu, WANG Jin, CAO Mengxi. Evaluation method of shale gas development area selection based on improved analytic hie-rarchy process[J]. Reservoir Evaluation and Development, 2021, 11(2): 204-211. https://www.cnki.com.cn/Article/CJFDTOTAL-KTDQ202102009.htm
[15]	BOWKER K A. Barnett shale gas production, Fort Worth Basin: issues and discussion[J]. AAPG Bulletin, 2007, 91(4): 523-533.
[16]	HILL D G, NELSON C R. Gas productive fractured shales: an overview and update[J]. Gas Tips, 2000, 6(2): 4-13.
[17]	CURTIS J B, FINGLETON W G.A. Well-log method for evaluating the Devonian shales in the Appalachian Basin[R]. Morgantown: Science Applications, Inc., 1979.
[18]	SCHOENBERG M. Elastic wave behavior across linear slip interfaces[J]. The Journal of the Acoustical Society of America, 1980, 68(5): 1516-1521.