油气田开发

复杂多孔介质主流通道定量判识标准

  • 李熙喆 ,
  • 卢德唐 ,
  • 罗瑞兰 ,
  • 孙玉平 ,
  • 沈伟军 ,
  • 胡勇 ,
  • 刘晓华 ,
  • 齐亚东 ,
  • 关春晓 ,
  • 郭辉
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  • 1. 中国石油勘探开发研究院,河北廊坊 065007;
    2. 中国科学技术大学工程科学学院,合肥 230026;
    3. 中国科学院力学研究所,北京 100190
李熙喆(1966-),男,河北唐山人,博士,中国石油勘探开发研究院教授级高级工程师,现从事天然气开发综合研究工作。地址:河北省廊坊市44号信箱,中国石油勘探开发研究院,邮政编码:065007。E-mail: lxz69@petrochina.com.cn

收稿日期: 2019-04-06

  修回日期: 2019-07-30

  网络出版日期: 2019-09-17

Quantitative criteria for identifying main flow channels in complex porous media

  • LI Xizhe ,
  • LU Detang ,
  • LUO Ruilan ,
  • SUN Yuping ,
  • SHEN Weijun ,
  • HU Yong ,
  • LIU Xiaohua ,
  • QI Yadong ,
  • GUAN Chunxiao ,
  • GUO Hui
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  • 1. PetroChina Research Institute of Petroleum Exploration & Development, Langfang 065007, China;
    2. Department of Modern Mechanics, University of Science and Technology of China, Hefei 230026, China;
    3. Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China

Received date: 2019-04-06

  Revised date: 2019-07-30

  Online published: 2019-09-17

摘要

为判识油气储集层中复杂多孔介质的主流通道类型,利用试井解释获取的综合渗透率与岩心测试(或测井解释)得到的基质渗透率的比值定义了“主流通道指数”,同时基于流量等效原理建立了相应的数学模型,提出了主流通道分类方法,实现了储集层流动通道类型的定量表征,并通过典型气藏实例分析验证了该方法的有效性。研究表明,“主流通道指数”能够定量划分流动通道类型:该指数小于3,基质孔隙为主要流动通道;该指数为3~20,流动通道以裂缝为主、基质孔隙为辅;该指数大于20可视裂缝为唯一渗流通道。典型气藏的动态分析显示,“主流通道指数”可用于评价多孔介质流动通道类型,进而指导气藏分类开发、规避气藏开发风险。图10参29

本文引用格式

李熙喆 , 卢德唐 , 罗瑞兰 , 孙玉平 , 沈伟军 , 胡勇 , 刘晓华 , 齐亚东 , 关春晓 , 郭辉 . 复杂多孔介质主流通道定量判识标准[J]. 石油勘探与开发, 2019 , 46(5) : 943 -949 . DOI: 10.11698/PED.2019.05.13

Abstract

To identify the type of main flow channels of complex porous media in oil and gas reservoirs, the “main flow channel index” is defined as the ratio of comprehensive permeability obtained from well test to matrix permeability obtained from core analysis or well logging. Meanwhile, a mathematical model is established based on equivalent flow assumption, the classification method for main flow channels is put forward, and quantitative characterization of main flow channels is realized. The method has been verified by analysis of typical gas reservoirs. The study results show that the “main flow channel index” can quantitatively classify types of flow channels. If the index is less than 3, the matrix pore is the main flow channel; if the index is between 3 and 20, the fracture is the main flow channel and the matrix pore acts as the supplement one; if the index is more than 20, the fracture is the only seepage channel. The dynamic analysis of typical gas reservoirs shows that the “main flow channel index” can be used to identify the type of flow channel in complex porous media, guiding the classified development of gas reservoirs, and avoiding development risk.

参考文献

[1] LONG J C S, REMER J S, WILSON C R, et al. Porous media equivalents for networks of discontinuous fractures[J]. Water Resources Research, 1982, 18(3): 645-658.
[2] BERKOWITZ B.Characterizing flow and transport in fractured geological media: A review[J]. Advances in Water Resources, 2002, 25(8/9/10/11/12): 861-884.
[3] TSANG Y W, TSANG C F.Flow channeling in a single fracture as a two-dimensional strongly heterogeneous permeable medium[J]. Water Resources Research, 1989, 25(9): 2076-2080.
[4] TSANG C F, NERETNIEKS I.Flow channeling in heterogeneous fractured rocks[J]. Reviews of Geophysics, 1998, 36(2): 275-298.
[5] GOC R L, DREUZY J R D, DAVY P. An inverse problem methodology to identify flow channels in fractured media using synthetic steady-state head and geometrical data[J]. Advances in Water Resources, 2010, 33(7): 782-800.
[6] NERETNIEKS I.Channeling effects in flow and transport in fractured rocks: Some recent observations and models[R]. Stockholm: GEOVAL-87 International Symposium, 1987.
[7] SILLIMAN S E.An interpretation of the difference between aperture estimates derived from hydraulic and tracer tests in a single fracture[J]. Water Resources Research, 1989, 25(10): 2275-2283.
[8] HESTIR K, MARTEL S J, VAIL S, et al.Inverse hydrologic modeling using stochastic growth algorithms[J]. Water Resources Research, 1998, 34(12): 3335-3347.
[9] DATTA-GUPTA A, VASCO D W, LONG J C S, et al. Detailed characterization of a fractured limestone formation by use of stochastic inverse approaches[J]. SPE Formation Evaluation, 1995, 10(3): 133-140.
[10] RONAYNE M J, GORELICK S M, CAERS J.Identifying discrete geologic structures that produce anomalous hydraulic response: An inverse modeling approach[J]. Water Resources Research, 2008, 44(8): 1-16.
[11] KERROU J, RENARD P, FRANSSEN H J H, et al. Issues in characterizing heterogeneity and connectivity in non-multi Gaussian media[J]. Advances in Water Resources, 2008, 31(1): 147-159.
[12] DAY-LEWIS F D, LANE J W, HARRIS J M, et al. Time-lapse imaging of saline-tracer transport in fractured rock using difference-attenuation radar tomography[J]. Water Resources Research, 2003, 39(10): 1290.
[13] WARREN J E, PRICE H S.Flow in heterogeneous porous media[J]. SPE Journal, 1961, 1(3): 153-169.
[14] GUSWA A J, FREYBERG D L.On using the equivalent conductivity to characterize solute spreading in environments with low-permeability lenses[J]. Water Resources Research, 2002, 38(8): 7-14.
[15] AMAEFULE J O, ALTUNBAY M, TIAB D, et al.Enhanced reservoir description: Using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells[R]. SPE 26436, 1993.
[16] AL-DHAFEERI A M, NASR-EL-DIN H A. Characteristics of high-permeability zones using core analysis and production logging data[J]. Journal of Petroleum Science & Engineering, 2007, 55(1/2): 18-36.
[17] GUO G, DIAZ M A, PAZ F J, et al.Rock typing as an effective tool for permeability and water-saturation modeling: A case study in a clastic reservoir in the Oriente basin[J]. SPE Reservoir Evaluation & Engineering, 2007, 10(6): 730-739.
[18] RUSHING J A, NEWSHAM K E, BLASINGAME T A.Rock typing: Keys to understanding productivity in tight gas sands[R]. SPE 114164 , 2008.
[19] ABEDINI A.Statistical evaluation of reservoir rock type in a carbonate reservoir[R]. SPE 152359, 2011.
[20] TARIQ M, BIZARRO P, SOUSA A, et al.Reservoir characterization and modeling of a carbonate reservoir: Case study[R]. SPE 161039, 2012.
[21] GHADAMI N, REZA RASAEI M, HEJRI S, et al.Consistent porosity-permeability modeling, reservoir rock typing and hydraulic flow unitization in a giant carbonate reservoir[J]. Journal of Petroleum Science & Engineering, 2015, 131: 58-69.
[22] 孔祥言. 高等渗流力学[M]. 合肥: 中国科学技术大学出版社, 2010: 151-153.
KONG Xiangyan.Advanced fluid mechanics in porous media[M]. Hefei: China University of Science and Technology Press, 2010: 151-153.
[23] 朱华银, 马力宁, 陈建军, 等. 涩北一号气田第四系储层特征研究[J]. 天然气工业, 2006, 26(4): 29-31.
ZHU Huayin, MA Lining, CHEN Jianjun, et al.Research on characteristics of reservoir bed in Quaternary of Sebei-1 gas field[J]. Natural Gas Industry, 2006, 26(4): 29-31.
[24] 李熙喆, 郭振华, 胡勇, 等. 中国超深层构造型大气田高效开发策略[J]. 石油勘探与开发, 2018, 45(1): 111-118.
LI Xizhe, GUO Zhenhua, HU Yong, et al.Efficient development strategies for large ultra-deep structural gas fields in China[J]. Petroleum Exploration and Development, 2018, 45(1): 111-118.
[25] 吴永平, 朱忠谦, 肖香姣, 等. 迪那2气田古近系储层裂缝特征及分布评价[J]. 天然气地球科学, 2011, 22(6): 989-995.
WU Yongping, ZHU Zhongqian, XIAO Xiangjiao, et al.Fracture feature of Tertiary reservoir and distribution evaluation in Dina 2 gas field[J]. Natural Gas Geoscience, 2011, 22(6): 989-995.
[26] 罗瑞兰, 张永忠, 刘敏, 等. 超深层裂缝性致密砂岩气藏水侵动态特征分析[J]. 浙江科技学院学报, 2017, 29(5): 321-327.
LUO Ruilan, ZHANG Yongzhong, LIU Min, et al.Analysis of water invasion performance of ultra-deep and naturally fractured tight sand gas reservoirs[J]. Journal of Zhejiang University of Science and Technology, 2017, 29(5): 321-327.
[27] 胡勇, 李熙喆, 万玉金, 等. 裂缝气藏水侵机理及对开发影响实验研究[J]. 天然气地球科学, 2016, 27(5): 910-917.
HU Yong, LI Xizhe, WAN Yujin, et al.The experimental study of water inversion mechanism in fracture and the influence on the development of gas reservoir[J]. Natural Gas Geoscience, 2016, 27(5): 910-917.
[28] 李熙喆, 郭振华, 万玉金, 等. 安岳气田龙王庙组气藏地质特征与开发技术政策[J]. 石油勘探与开发, 2017, 44(3): 398-406.
LI Xizhe, GUO Zhenhua, WAN Yujin, et al.Geological characteristics and development strategies for Cambrian Longwangmiao Formation gas reservoir in Anyue gas field, Sichuan Basin, SW China[J]. Petroleum Exploration and Development, 2017, 44(3): 398-406.
[29] 李熙喆, 刘晓华, 苏云河, 等. 中国大型气田井均动态储量与初始无阻流量定量关系的建立与应用[J]. 石油勘探与开发, 2018, 45(6): 1020-1025.
LI Xizhe, LIU Xiaohua, SU Yunhe, et al.Correlation between per-well average dynamic reserves and initial absolute open flow potential (AOFP) for large gas fields in China and its application[J]. Petroleum Exploration and Development, 2018, 45(6): 1020-1025.
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