全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
科技导报  2014 

黏土束缚水对压汞毛管压力曲线的影响及校正

DOI: 10.3981/j.issn.1000-7857.2014.2.007, PP. 44-49

Keywords: 黏土束缚水,毛管压力曲线,压汞法,半渗透隔板法

Full-Text   Cite this paper   Add to My Lib

Abstract:

毛管压力曲线是研究岩石孔隙结构最主要的方法之一。依据含油气泥质砂岩体积模型和HSK方程,结合半渗透隔板法、压汞法获取的毛管压力实验数据,以及CEC法测定的阳离子交换容量实验数据,分析了黏土束缚水对压汞毛管压力曲线的影响,提出一种校正压汞毛管压力曲线的方法。研究表明,对于泥质砂岩,在溶液矿化度较低且阳离子交换容量较高时,实验测量得到的压汞毛管压力曲线与半渗透隔板毛管压力曲线差别较大,即岩样黏土束缚水相对体积越高,压汞毛管压力曲线与油藏实际情况的偏差越大;应用提出的校正方法对6块不同孔隙结构岩样的压汞毛管压力曲线进行校正,中孔渗及高孔渗岩样校正后的压汞毛管压力曲线与半渗透隔板毛管压力曲线基本一致,而低孔渗岩样则不适合用该方法进行校正。

References

[1]  Frederique F, Gilles F, Christophe A, et al. Integrated rock-typing with capillary pressure curve clustering[C/OL]// SPE Middle East Oil and Gas show and Conference, Manama, Bahrain, 2013. [2013-09-12]. http://www. onepetro.org/mslib/app/search.do.
[2]  Shams M, Amal P, Khairy M, et al. Effect of capillary pressure on the numerical simulation of conventional and naturally fractured reservoirs[C/OL]// The North Africa Technical Conference, Cairo, Egypt, 2013.[2013-09-12]. http://www.onepetro.org/mslib/app/search.do.
[3]  Sami M, Mohamed A. A comparison between capillary and electrical properties of rock samples obtained at ambient conditions and reservoir conditions[C/OL]// The North Africa Technical Conference, Cairo, Egypt, 2013. [2013-09-12]. http://www.onepetro.org/mslib/app/search.do.
[4]  Nojabaei B, Johns R T, Chu L. Effect of capillary pressure on phase behavior in tight rocks and shales[J]. SPE Reservoir Evaluation & Engineering, 2013(8): 281-289.
[5]  李永胜, 章志锋, 刘学刚, 等. 利用毛管压力曲线分析姬塬油田长6油 层微观孔隙结构特征[J]. 石油化工应用, 2013, 32(2): 16-24. Li Yongsheng, Zhang Zhifeng, Liu Xuegang, et al. Study microscopic pore structure characteristics of Chang 6 reservoir of Jiyuan oilfield by capillary curves[J]. Petrochemical Industry Application, 2013, 32(2): 16-24.
[6]  苏俊磊, 孙建孟, 王涛, 等. 应用核磁工作测井资料评价储层孔隙结构 的改进方法[J]. 吉林大学学报: 地球科学版, 2011, 41(S1): 380-386. Su Junlei, Sun Jianmeng, Wang Tao, et al. An improved method of evaluating reservoir pore structure with nuclear magnetic log data[J]. Journal of Jilin University: Earth Science Edition, 2011, 41(S1): 380-386.
[7]  运华运, 赵文杰, 周灿灿, 等. 利用T2 分布进行岩石孔隙结构研究[J]. 测井技术, 2002, 26(1): 18~21. Yun Huayun, Zhao Wenjie, Zhou Cancan, et al. Researching rock pore structure with T2 distribution[J]. Well Logging Technique, 2002, 26(1): 18-21.
[8]  Xiao L, Zhang W. A new method to construct reservoir capillary pressure curves using NMR log data and its application[J]. Applied Geophysics, 2008, 5(2): 92-98.
[9]  陈杰, 周改英, 赵喜亮, 等. 储层岩石孔隙结构特征研究方法综述[J]. 特 种油气藏, 2005,12(4): 11-14. Chen Jie, Zhou Gaiying, Zhao Xiliang, et al. Overiview of study methods of reservoir rock pore structure [J]. Special Oil and Gas Reservoirs, 2005, 12(4): 11-14.
[10]  中国石油勘探与生产公司. 低阻油气藏测井识别评价方法与技术[M]. 北京: 石油工业出版社, 2006. Petrochina E&P Company. Low resistivity oil/gas reservoirs log identification method and technology[M]. Beijing: Petroleum Industry Press, 2006.
[11]  欧阳健, 毛志强, 修立军, 等. 测井低对比度油层成因机理与评价方 法[M]. 北京: 石油工业出版社, 2009. Ouyang Jian, Mao Zhiqiang, Xiu Lijun, et al. Log low contrast reservoir genetic mechanism and evaluation method[M]. Log low contrast reservoir genetic mechanism and evaluation method[M]. Beijing: Petroleum Industry Press, 2009.
[12]  Juhasz I. The central role of Qv and formation-water salinity in the evaluation of shaly formations[C/OL]// SPWLA 20th annual logging symposium, Corpus, TX, 1979.
[13]  楚泽涵, 高杰, 黄隆基, 等. 地球物理测井方法与原理[M]. 北京:石油 工业出版社, 2008. Chu Zhehan, Gao Jie, Huang Longji, et al. Geophysic logging methods and principles[M]. Geophysic logging methods and principles[M]. Beijing: Petroleum Industry Press, 2008.
[14]  Hill H J, Shirley O J, Klein G E. Bound water in shaly sands-its relation to Qv and other formation properties [J]. The Log Analyst, 1979(5/6): 3-19.
[15]  Martin P, Dacy J. Effective Qv by NMR core tests[C]. SPWLA 45th Annual Logging Symposium, Houston, TX, 2004.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133