Please wait a minute...
浙江大学学报(理学版)  2019, Vol. 46 Issue (6): 762-768    DOI: 10.3785/j.issn.1008-9497.2019.06.021
地球科学     
一种提高凝灰质储层渗透率解释精度的方法——以南贝尔油田为例
刘利
大庆油田有限责任公司 呼伦贝尔分公司,内蒙古 呼伦贝尔 021000
A method for improving interpretation accuracy of permeability of tuffaceous reservoir-taking Nanbeier Oilfield as an example
LIU Li
Hulunbeier Subsidiary of Daqing Oilfield Co. Ltd, Hulunbeier 021000,Inner Mongolia Autonomous Region,China
 全文: PDF(2173 KB)   HTML  
摘要: 为有效解决凝灰质储层渗透率精细解释的问题,以南贝尔油田为例,利用取心井岩心分析孔隙度、渗透率资料,利用流动单元指数FZI值进行流动单元划分,并建立了各类流动单元的渗透率精细解释模型。将优选反映储层变化的测井变量及运用判别分析法建立流动单元的判别方程应用于非取心井段。结果表明,分流动单元计算的渗透率其模型解释精度明显提高,为凝灰质储层渗透率解释提供了一种新的有效方法。
关键词: 测井解释凝灰质储层流动单元渗透率南贝尔油田    
Abstract: In order to solve the problem of fine interpretation of permeability of tuffaceous reservoir,taking the Nanbeier Oilfield as an example,this study uses the porosity and permeability data from coring wells to evaluate the FZI and divided flow units by FZI, then establishes a detailed permeability interpretation model for each type of flow unit. It optimizes the logging variables so as so reflect reservoir changes and applies discriminant analysis method to establish discriminant equation of flow unit for non-coring intervals. The results show that the interpretation accuracy of permeability model calculated by shunt flow unit is obviously improved, which provides a new and effective method for permeability interpretation of tuffaceous reservoir.
Key words: log interpretation    tuffaceous reservoir    flow unit    permeability    Nanbeier oilfield
收稿日期: 2017-09-01 出版日期: 2019-11-25
CLC:  P 631.8  
基金资助: 国家自然科学基金重大项目(51490650).
作者简介: 刘利(1985—),ORCID:http://orcid.org/0000-0001-6522-6789,女,工学学士,工程师,主要从事油气田开发、地质与动态分析研究,E-mail:hliuli@petrochina.com.cn.
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
刘利

引用本文:

刘利. 一种提高凝灰质储层渗透率解释精度的方法——以南贝尔油田为例[J]. 浙江大学学报(理学版), 2019, 46(6): 762-768.

LIU Li. A method for improving interpretation accuracy of permeability of tuffaceous reservoir-taking Nanbeier Oilfield as an example. Journal of ZheJIang University(Science Edition), 2019, 46(6): 762-768.

链接本文:

https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2019.06.021        https://www.zjujournals.com/sci/CN/Y2019/V46/I6/762

1 ZHANGC L, ZHANGJ, WUJ F, et al. Summary and discussion on tuffaceous reservoir research progress[J]. Fault-Block Oil & Gas Field,2016,23(5):545-548.
2 LIUS H, PANB Z, HUANGB Z, et al. The review on the evaluation methods of Volvani-clastic sedimentary rock reservoirs[J].Progress in Geophysics, 2014,29(2):798-804. DOI:10.3969/j.issn.1004-275X.2017.11.034
3 JENNINGSJR J W, LUCIAF J. Predicting permeability from well logs in carbonates with a link to geology for interwell permeability mapping[C]//SPE Annual Technical Conference and Exhibition.New Orleans: Society of Petroleum Engineers,2001.DOI:10.2118/84942-pa
4 BRYANTS,CADEC, MELLORD. Permeability prediction from geologic models[J]. The American As-sociation of Petroleum Geologists,1993,77(8):1338 -1350.
5 MATHISENT,LEE S H,DATTA-GUPTAA. Improved permeability estimates in carbonate reservoirs using electrofacies characterization: A case study of the North Robertson unit,West Texas[C]//SPE Permian Basin Oil and Gas Recovery Conference.Texas:Society of Petroleum Engineers,2001. DOI:10.2118/70034-ms
6 LIAOD L, WUH Y. Modified permeability model based on flow units[J].Well Logging Technology,2015,39(6):802-806.DOI:10.16489/j.issn.1004-1338.2015.06.025
7 HEARNC L, EBLANKSW J,TYE R S. Geological factors influencing reservoir performance of the Hartzog draw field wyoming[J]. Journal of Petroleum Technology,1984,36(8):1335-1344.
8 GEH Q. Classification method and evaluation of flow unit in low porosity and permeability reservoir[J]. Offchore Oil,2016,36(4):45-50. DOI:10.3969/j.issn.1008-2336.2016.04.045
9 CHENW H, WANGZ Z, PANL, et al. Discussions on flow unit quantitative identification methodology in tight sandstone reservoirs[J].Natural Gas Geoscience,2016,27(5):844-850.DOI:10.11764/j.issn.1672-1926.2016.05.0844
10 TANGX, BAIB, XUF. Flow units distrabition characteristics and controlling factors of proluvial fan reservoir [J]. Journal of Yanan University(Natural Science Edition),2016,35(1):81-85,88. DOI:10.13876/J.cnki.ydnse.2016.01.081
11 ZHANGH R, HES L, WUJ B, et al. A new method for predicting permeability based on modified Kozeny-Carmen equation[J].Journal of Jilin University(Earth Science Edition),2017,47(3):899-906.
12 WUJ B. Application of reservoir classification and permeability elaborate evaluation with MRGC method[J]. Offshore Oil,2017,37(1):49-53. DOI:10.3969/j.issn.1008-2336.2017.01.049
13 CHENH Q, HUY L, YANL, et al. Advances in study of reservoir flow unit[J]. Acta Geoscientica Sinica, 2010,31(6):875-884.
14 LUY, XUS Y, WANGY, et al. Research methods and development trend of reservoir flow unit[J]. Zhongzhou Coal,2016(11):116-120. DOI:10.19389/j.cnki.1003-0506.2016.11.026
15 ZHAOJ, FANJ B, DAIX Y, et al. A classification method for permeability model in complex anisotropy reservoirs[J].Natural Gas Geoscience,2017,28(2):183-188. DOI:10.11764/j.issn.1672-1926.2016.12.001
16 ZHENX W, WUJ, HES L, et al. Fine evaluation of permeability of conglomerate reservoir based on flow unit[J]. Journal of Jilin University(Earth Science Edition), 2016,46(1):286-294. DOI:10.13278/j.cnki.jjuese.201601306
17 YANY, YANF, GUIC S, et al. Flow unit and its application in reservoir classification[J]. Natural Gas Exploration and Development, 2015,38(4):14-16,22. DOI:10.3969/j.issn.1673-3177.2015.04.004
18 TANZ B, LUX, ZHAOT Q, et al. Logging on fine interpretation of reservoir flow unit division[J]. New Technology & New Process,2015(8):86-88.DOI:10.3969/j.issn.1003-5311.2015.08.028
19 ZHANGH R, YANGD, WUY X. Classification of reservoir permeability prediction technology based on fisher discriminant[J].Geological Science and Technology Information, 2017,36(1):242-246.
20 JIAOC H, XUC H. An approach to permeability prediction based on flow zone index[J].Well Logging Technology, 2006,30(4):317-319,384. DOI:10.3969/j.issn.1004-1338.2006.04.008
21 YUANX T, PENGS B, LINC Y, et al. An interpretation method for permeability based on flow units and its applicability[J]. Acta Petrolei Sinica,2005,26(6):78-81. DOI:10.3321/j.issn:0253-2697.2005.06.017
[1] 张继成, 包智魁, 杨浩. 射孔带渗透率计算式的推导与应用[J]. 浙江大学学报(理学版), 2021, 48(4): 481-487.