页岩储层脆性指数的随钻测井计算方法研究——以威远地区寒武系筇竹寺组为例

油气藏评价与开发 ›› 2018, Vol. 8 ›› Issue (3): 73-78.

页岩储层脆性指数的随钻测井计算方法研究——以威远地区寒武系筇竹寺组为例

王瀚玮¹,夏宏泉¹,刘畅¹,赵昊²

^1. 西南石油大学油气藏地质及开发工程国家重点实验室,四川成都 610500
^2. 中国石油四川长宁天然气开发有限责任公司,四川成都 610000

收稿日期:2017-08-22 发布日期:2018-12-07 出版日期:2018-06-26
作者简介:王瀚玮（1992—）,男,在读硕士研究生,常规测井,偶极声波测井和随钻测井的精细解释及应用方面研究。
基金资助:
国家重点基础研究发展计划(973计划“页岩气水平井钻完井关键基础研究”2013CB228003)

Research on calculation method of BI by logging while drilling of shale reservoirs: A case of Qiongzhusi formation in Cambrian, Weiyuan area

Wang Hanwei¹,Xia Hongquan¹,Liu Chang¹,Zhao Hao²

^1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China
^2. Sichuan Changning Gas Development Co., Ltd, Chengdu, Sichuan 610000, China

Received:2017-08-22 Online:2018-12-07 Published:2018-06-26

摘要/Abstract

摘要：

脆性指数作为岩石力学评价的一个新参数对储层后期压裂改造有着重要影响,将传统计算脆性指数的方法应用于页岩气水平井的地质导向钻井中,局限性较大。针对随钻测井曲线实时计算页岩脆性指数的问题,首先开展脆性指数和孔隙度的实验测试研究,为利用孔隙度测井信息计算脆性指数提供实验依据;其次采用统计回归法分析了声波时差、密度、中子、伽马测井值与脆性指数的相关性,构建利用单条随钻测井曲线计算脆性指数的计算方法,通过不同测井曲线对脆性指数的贡献率建立了页岩储层脆性指数的随钻计算模型;最后结合实例对该模型进行可行性分析。研究表明,该模型效果好且适用性强,为利用脆性指数进行页岩气水平井的地质导向钻井提供了可靠依据。

关键词: 脆性指数, 页岩气水平井, 随钻测井, 测井曲线, 地质导向

Abstract:

As a new parameter of the rock mechanics evaluation, the brittleness index （BI） has an important influence on the later fracturing and reconstruction of the reservoirs. The traditional calculation methods of the BI applied to the geosteering drilling of the shale gas horizontal wells have many limitations. Aiming at the calculation of the BI in real time by the LWD curves, we started with the experimental study on the BI and porosity to provide an experimental basis for calculating the BI by the porosity log information. Then, we used the regression method to analyze the relevance of the AC, DEN, CNL, GR logging values and BI, calculated the BI by using single LWD curves, and through the contribution of different logging curves to the BI, established a BI calculation method by logging while drilling of the shale reservoirs. Finally, we analyzed the feasibility of the model by the examples. The research result shows that the model is effective and adaptable, which provides a reliable basis for the geosteering drilling of the horizontal wells of the shale gas by the BI.

Key words: brittleness index（BI）, Shale gas horizontal well, LWD, Logging curve, Geosteering

中图分类号:

TE311

王瀚玮,夏宏泉,刘畅,等. 页岩储层脆性指数的随钻测井计算方法研究——以威远地区寒武系筇竹寺组为例[J]. 油气藏评价与开发, 2018, 8(3): 73-78.

Hanwei Wang,Hongquan Xia,Chang Liu, et al. Research on calculation method of BI by logging while drilling of shale reservoirs: A case of Qiongzhusi formation in Cambrian, Weiyuan area[J]. Reservoir Evaluation and Development, 2018, 8(3): 73-78.

图/表 9

表1

图1

图 2

图3

图4

图5

图6

表2

不同测井曲线组合下脆性指数的随钻测井计算模型"

随钻测井曲线组合类型	脆性指数的随钻测井计算模型
AC、DEN、CNL、CGR	$B I 1 = 146.725 - 0.338 AC - 22.257 DEN - 0.453 CNL - 0.081 CGR$
DEN、CNL、CGR	$B I 2 = 156.002 - 31.073 DEN - 0.633 CNL - 0.113 CGR$
DEN、CGR	$B I 3 = 211.688 - 49.299 DEN - 0.272 CGR$
CGR	$B I 4 = - 0.356 CGR + 86.687$

表2

图7

参考文献 15

[1]	Rickman R, Mullen M J, Petre J E , et al. A practical use of shale petrophysics for stimulation design optimization: All shale plays are not clones of the Barnett Shale[C]// paper SPE-115258-MS presented at the SPE Annual Technical Conference and Exhibition, 21-24 September 2008, Denver, Colorado, USA.
[2]	夏宏泉, 杨双定, 弓浩浩 , 等. 岩石脆性实验及压裂缝高度与宽度测井预测[J]. 西南石油大学学报(自然科学版), 2013,35(4):81-89. doi: 10. 3863/j. issn. 1674 – 5086. 2013. 04. 011
[3]	马林 . 页岩储层关键参数测井评价方法研究[J]. 油气藏评价与开发, 2013,3(6):66-71. doi: 10.3969/j.issn.2095-1426.2013.06.015
[4]	Kuhlman R D, Perez J I, Claiborne E B . Microfracture stress tests, anelastic strain recovery,differential strain analysis assist in Bakken shale horizontal drilling program[C]// paper SPE-24379-MS presented at the SPE Rocky Mountain Regional Meeting, 18-21 May1992, Casper, Wyoming, USA.
[5]	李特社, 夏宏泉, 陈颖杰 . 基于脆性随钻解释的页岩气地质导向应用[J]. 国外测井技术, 2015,36(6):31-34.
[6]	廖东良, 肖立志, 张元春 . 基于矿物组分与断裂韧度的页岩地层脆性指数评价模型[J]. 石油钻探技术, 2014,42(4):37-41. doi: 10.3969/j.issn.10010890.2014.04.007
[7]	陈祖庆, 郭旭升, 李文成 , 等. 基于多元回归的页岩脆性指数预测方法研究[J]. 天然气地球科学, 2016,27(3):461-469. doi: 10.11764/j.issn.1672-1926.2016.03.0461
[8]	刘乃震, 王国勇 . 四川盆地威远区块页岩气甜点厘定与精准导向钻井[J]. 石油勘探与开发, 2016,43(6):978-985. doi: 10.11698/PED.2016.06.15
[9]	刘江涛, 李永杰, 朱杰平 , 等. 地质导向技术在页岩气水平井钻井中的应用——以川东南地区A井为例[J]. 天然气地球科学, 2016,27(12):2223-2230.
[10]	赖锦, 王贵文, 范卓颖 , 等. 非常规油气储层脆性指数测井评价方法研究进展[J]. 石油科学通报, 2016,2(3):330-341. doi: 10.3969/j.issn.2096-1693.2016.03.028
[11]	徐壮, 石万忠, 翟刚毅 , 等. 涪陵地区页岩总孔隙度测井预测[J]. 石油学报, 2017,38(5):533-543. doi: 10.7623/syxb201705006
[12]	刘向君, 刘堂晏, 刘诗琼 . 测井原理及工程应用[M]. 北京: 石油工业出版社, 2006.
[13]	袁超, 李潮流, 周灿灿 , 等. 随钻中子孔隙度测井响应特性数值模拟[J]. 地球科学, 2014,39(12):1896-1902. doi: 10.3799/dqkx.2014.174
[14]	Sondergeld C H, Newsham K E, Comisky J T , et al. Petrophysical considerations in evaluating and producing shale gas resources[C]// paper SPE-131768-MS presented at the SPE Unconventional Gas Conference, 23-25 February 2010, Pittsburgh, Pennsylvania,USA.
[15]	Wang M, Wilkins R W T, Song G , et al. Geochemical and geological characteristics of the E_s ³L lacustrine shale in the Bonan Sag, Bohai Bay Basin, China [J]. International Journal of Coal Geology, 2015,138:16-29. doi: 10.1016/j.coal.2014.12.007