Volume 40 Issue 4
Jul.  2021
Turn off MathJax
Article Contents
Wang Xinguang, Zhang Chong, Zhang Hui, Yang Zhaoqiang, Peng Xiaodong, Zhao Nan, Wang Lei. Classification and evaluation of low-permeability sand reservoir based on micro-pore structure[J]. Bulletin of Geological Science and Technology, 2021, 40(4): 93-103. doi: 10.19509/j.cnki.dzkq.2021.0429
Citation: Wang Xinguang, Zhang Chong, Zhang Hui, Yang Zhaoqiang, Peng Xiaodong, Zhao Nan, Wang Lei. Classification and evaluation of low-permeability sand reservoir based on micro-pore structure[J]. Bulletin of Geological Science and Technology, 2021, 40(4): 93-103. doi: 10.19509/j.cnki.dzkq.2021.0429

Classification and evaluation of low-permeability sand reservoir based on micro-pore structure

doi: 10.19509/j.cnki.dzkq.2021.0429
  • Received Date: 30 Nov 2020
  • The undeveloped low-permeability oil reserves of the Liushagang Formation in the Beibu Gulf Basin are large, but the reservoir quality is poor. The existing classification standards for low-permeability reservoirs cannot meet the needs of fine reservoir evaluation and offshore development.Based on the experiments of constant rate mercury injection, high pressure mercury injection, NMR and seepage mechanism, this paper comprehensively analyzed the micro-pore structure and seepage characteristics, and optimized six kinds of reservoir evaluation parameters: reservoir quality index, fractal dimension of pore structure, mainstream throat radius, mean throat radius, percentage of movable fluid and change rate of threshold pressure gradient, meanwhile, the classification limit of various characterization parameters were determined by integrating with the reservoir quality index, reservoir seepage ability evaluation factors and specific productivity index constraint parameters. A comprehensive evaluation criterion for low-permeability oil reservoirs is established based on the Grey Relational Analysis method, which is divided into Ⅰ, Ⅱa, Ⅱb, Ⅲ and Ⅳ from good to bad.Carried out the grading evaluation of low-permeability reserves and the research results provide a theoretical basis for the analysis of the development potential, the research direction of the low-permeability reserves in Beibu Gulf Basin.The results show: types Ⅰand Ⅱa are relatively high-quality low-permeability reserves and have been put into large-scale development.Types Ⅱb and Ⅲ are extra-low-permeability reserves and are difficult to develop, which need to be formulated for experimental development by reasonable technical measures and development models.

     

  • loading
  • [1]
    胡永乐, 宋新民, 杨思玉. 低渗透油气田开采技术[M]. 北京: 石油工业出版社, 2002.

    Hu Y L, Song X M, Yang S Y, et al. Exploitation technology of low permeability oil and gas fields[M]. Beijing: Petroleum Industry Press, 2002(in Chinese).
    [2]
    翟光明, 高维亮. 中国石油地质学[M]. 北京: 石油工业出版社, 2005.

    Zhai G M, Gao W L. Petroleum geology of China[M]. Beijing: Petroleum Industry Press, 2005(in Chinese).
    [3]
    杨正明, 张英芝, 郝明强, 等. 低渗透油田储层综合评价方法[J]. 石油学报, 2006, 27(2): 65-66. https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB200602013.htm

    Yang Z M, Zhang Y Z, Hao M Q, et al. Comprehensive evaluation of reservoir in low permeability oilfields[J]. Acta Petrolei Sinica, 2006, 27(2): 65-66(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB200602013.htm
    [4]
    赵靖舟, 吴少波, 武富礼. 论低渗透储层的分类与评价标准: 以鄂尔多斯盆地为例[J]. 岩性油气藏, 2007, 19(3): 28-31. doi: 10.3969/j.issn.1673-8926.2007.03.005

    Zhao J Z, Wu S B, Wu F L. The classification and evaluation criterion of low permeability reservoir: An example from Ordos Basin[J]. Lithologic Reservoirs, 2007, 19(3): 28-31(in Chinese with English abstract). doi: 10.3969/j.issn.1673-8926.2007.03.005
    [5]
    张金庆, 杨凯雷, 梁斌. 我国海上低渗油田分类标准研究[J]. 中国海上油气, 2012, 24(6): 25-27. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHSD201206005.htm

    Zhang J Q, Yang K L, Liang B. A classification of low permeability oilfields offshore China[J]. China Offshore Oil and Gas, 2012, 24(6): 25-27(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-ZHSD201206005.htm
    [6]
    张仲宏, 杨正明, 刘先贵, 等. 低渗透油藏储层分级评价方法及应用[J]. 石油学报, 2012, 33(3): 437-441. https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB201203013.htm

    Zhang Z H, Yang Z M, Liu X G, et al. A grading evaluation method for low permeability reservoirs and its application[J]. Acta Petrolei Sinica, 2012, 33(3): 437-441(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB201203013.htm
    [7]
    Clarkson C R, Jensen J L, Pedersen P K, et al. Innovative methods for flow-unit and pore-structure analyses in a tightsiltstone and shale gas reservoir[J]. AAPG Bulletin, 2012, 96(2): 355-374. doi: 10.1306/05181110171
    [8]
    Anovitz L M, Cole D R. Characterization and analysis of porosity and pore structures[J]. Rev. Mineral. Geochem., 2015, 80: 61-164. doi: 10.2138/rmg.2015.80.04
    [9]
    张帆, 萧汉敏, 姜振学, 等. 大庆油田扶余油层储层特征及经济甜点分类方案[J]. 地质科技通报, 2020, 39(6): 52-63. . https://dzkjqb.cug.edu.cn/CN/abstract/abstract10071.shtml

    Zhang F, Xiao H M, Jiang Z X, et al. Reservoir characteristics and economic sweet classification scheme of Fuyu reservoir in Daqing Oilfield[J]. Bulletin of Geological Science and Technology, 2020, 39(6): 52-63(in Chinese with English abstract). https://dzkjqb.cug.edu.cn/CN/abstract/abstract10071.shtml
    [10]
    张铜耀, 郝鹏. 渤中凹陷深层特低孔特低渗砂砾岩储层储集空间精细表征[J]. 地质科技通报, 2020, 39(4): 117-124. https://dzkjqb.cug.edu.cn/CN/abstract/abstract10007.shtml

    Zhang T Y, Hao P. Fine characterization of the reservoir space in deep ultra-low porosity and ultra-low permeability glutenite in Bozhong Sag[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 117-124(in Chinese with English abstract). https://dzkjqb.cug.edu.cn/CN/abstract/abstract10007.shtml
    [11]
    马旭鹏. 储层物性参数与其微观孔隙结构的内在联系[J]. 勘探地球物理进展, 2010, 33(3): 216-219. https://www.cnki.com.cn/Article/CJFDTOTAL-KTDQ201003013.htm

    Ma X P. Internal relationship between physical property and micro-pore structure of reservoir[J]. Progress in Exploration Geophysics, 2010, 33(3): 216-219(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-KTDQ201003013.htm
    [12]
    孟子圆, 孙卫, 刘登科, 等. 联合压汞法的致密储层微观孔隙结构及孔径分布特征: 以鄂尔多斯盆地吴起地区长6储层为例[J]. 地质科技情报, 2019, 38(2): 208-216. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201902024.htm

    Meng Z Y, Sun W, Liu D K, et al. Combined mercury porosimetry to characterize the microscopic pore structure and pore size distribution of tight reservoirs: A case of Chang 6 reservoir in Wuqi area, Ordos Basin[J]. Geological Science and Technology Information, 2019, 38(2): 208-216(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201902024.htm
    [13]
    Mandelbrot B B. The fractal geometry of nature[M]. San Francisco: Freeman, 1982.
    [14]
    Krohn C E. Sandstone fractal and euclidean pore volume distributions[J]. Geophys. Res., 1988, 93(B4): 3286-3296. doi: 10.1029/JB093iB04p03286
    [15]
    Angulo R F, Alvarado V, Gonzalez H. Fractal dimensions from mercury intrusion capillary tests[R]. SPE 23695, 1992.
    [16]
    贺伟, 钟孚勋, 贺承祖, 等. 储层岩石孔隙的分形结构研究和应用[J]. 天然气工业, 2000, 20(2): 67-70. doi: 10.3321/j.issn:1000-0976.2000.02.019

    He W, Zhong F X, He C Z, et al. Fractal texture research on the pores in reservoir rocks and its application[J]. Natural Gas Industry, 2000, 20(2): 67-70(in Chinese with English abstract). doi: 10.3321/j.issn:1000-0976.2000.02.019
    [17]
    Yu B M, Li J H. Some fractal characters of porous media[J]. Fractals, 2001, 9(3): 365-372. doi: 10.1142/S0218348X01000804
    [18]
    李留仁, 赵艳艳, 李忠兴, 等. 多孔介质微观孔隙结构分形特征及分形系数的意义[J]. 石油大学学报: 自然科学版, 2004, 28(3): 105-114. https://www.cnki.com.cn/Article/CJFDTOTAL-SYDX200403028.htm

    Li L R, Zhao Y Y, Li Z X, et al. Fractal characteristic of micropore structure of porouys media and the meaning of fractal coefficient[J]. Journal of the University of Petroleum: Natural Science Edition, 2004, 28(3): 105-114(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-SYDX200403028.htm
    [19]
    马新仿, 张士诚, 郎兆新. 孔隙结构特征参数的分形表征[J]. 油气地质与采收率, 2005, 12(6): 34-36. doi: 10.3969/j.issn.1009-9603.2005.06.011

    Ma X F, Zhang S C, Lang Z X. Fractal characterization of characteristic parameters of pore structure[J]. Petroleum Geology and Recovery Efficiency, 2005, 12(6): 34-36(in Chinese with English abstract). doi: 10.3969/j.issn.1009-9603.2005.06.011
    [20]
    徐守余, 王淑萍. 砂岩储层微观结构分形特征研究: 以胜坨油田古近系沙河街组储层为例[J]. 天然气地球科学, 2013, 24(5): 886-893. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201305003.htm

    Xu S Y, Wang S P. Fractal feature about the micro-structure in sandstone reservoir: Taking the Paleogene Shahejie Formation in Shengtuo Oilfield as an example[J]. Natural Gas Geoscience, 2013, 24(5): 886-893(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201305003.htm
    [21]
    张宪国, 张涛, 林承焰. 基于孔隙分形特征的低渗透储层孔隙结构评价[J]. 岩性油气藏, 2013, 25(6): 40-45. doi: 10.3969/j.issn.1673-8926.2013.06.008

    Zhang X G, Zhang T, Lin C Y. Pore structure evaluation of low permeability reservoir based on pore fractal features[J]. Lithologic Reservoirs, 2013, 25(6): 40-45(in Chinese with English abstract). doi: 10.3969/j.issn.1673-8926.2013.06.008
    [22]
    冯小哲, 祝海华. 鄂尔多斯盆地苏里格地区下石盒子组致密砂岩储层微观孔隙结构及分形特征[J]. 地质科技情报, 2019, 38(3): 147-156. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201903015.htm

    Feng X Z, Zhu H H. Micro-pore structure and fractal characteristics of the Xiashihezi Formation tight sandstone reservoirs in Sulige area, Ordos Basin[J]. Geological Science and Technology Information, 2019, 38(3): 147-156(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201903015.htm
    [23]
    杨正明, 苗盛, 刘先贵, 等. 特低渗透油藏可动流体百分数参数及其应用[J]. 西安石油大学学报: 自然科学版, 2007, 22(2): 96-99. https://www.cnki.com.cn/Article/CJFDTOTAL-XASY200702024.htm

    Yang Z M, Miao S, Liu X G, et al. Percentage parameter of the movable fluid in ultra-low permeability reservoir and its application[J]. Journal of Xi'an Shiyou University: Natural Science Edition, 2007, 22(2): 96-99(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-XASY200702024.htm
    [24]
    黄兴, 李天太, 王香增, 等. 致密砂岩储层可动流体分布特征及影响因素: 以鄂尔多斯盆地姬塬油田延长组长8油层组为例[J]. 石油学报, 2019, 40(5): 557-567. https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB201905005.htm

    Huang X, Li T T, Wang X Z, et al. Distribution characteristics and its influence factors of movable fluid in tight sandstone reservoir: A case study from Chang-8 oil layer of Yanchang Formation in Jiyuan Oilfield, Ordos Basin[J]. Acta Petrolei Sinica, 2019, 40(5): 557-567(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB201905005.htm
    [25]
    谢升洪, 李伟, 冷福, 等. 致密砂岩储层可动流体赋存规律及制约因素研究: 以鄂尔多斯盆地华庆油田长6段储层为例[J]. 地质科技情报, 2019, 38(5): 105-114. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201905011.htm

    Xie S H, Li W, Leng F, et al. Distribution and controlling factors of movable fluid in tight sandstione reservoir: Taking Chang 6 Formation of Huaqing Oilfield Ordos Basin as an example[J]. Geological Science and Technology Information, 2019, 38(5): 105-114(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201905011.htm
    [26]
    时宇, 杨正明, 黄延章. 低渗透储层非线性渗流模型研究[J]. 石油学报, 2009, 30(5): 731-734. https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB200905019.htm

    Shi Y, Yang Z M, Huang Y Z. Study on non-linear seepage flow model for low-permeability reservoir[J]. Acta Petrolei Sinica, 2009, 30(5): 731-734(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB200905019.htm
    [27]
    李玉丹, 董平川, 张荷, 等. 低渗透油藏渗透率及启动压力梯度应力敏感性分析[J]. 油气地质与采收率, 2016, 23(6): 57-63. https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS201606010.htm

    Li Y D, Dong P C, Zhang H, et al. Stress sensitivity analysis of permeability and threshold pressure gradient in low-permeability reservoir[J]. Petroleum Geology and Recovery Efficiency, 2016, 23(6): 57-63(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS201606010.htm
    [28]
    王磊, 张辉, 彭小东, 等. 低渗透砂砾岩油藏水敏伤害机理与产能评价[J]. 石油勘探与开发, 2019, 46(6): 1148-1158.

    Wang L, Zhang H, Peng X D, et al. Water-sensitive damage mechanism and injection water source optimization of low permeability sandy conglomerate reservoirs[J]. Petroleum Exploration and Development, 2019, 46(6): 1148-1158(in Chinese with English abstract).
    [29]
    宋子齐, 谭成仟. 灰色理论油气储层评价[M]. 北京: 石油工业出版社, 1995.

    Song Z Q, Tan C Q. Grey theory of oil and gas reservoir evaluation[M]. Beijing: Petroleum Industry Press, 1995(in Chinese).
    [30]
    赵加凡, 陈小宏, 张勤. 灰关联分析在储层评价中的应用[J]. 勘探地球物理进展, 2003, 26(4): 282-286. https://www.cnki.com.cn/Article/CJFDTOTAL-KTDQ200304007.htm

    Zhao J F, Chen X H, Zhang Q. Application of grey association analysis in reservoir evaluation[J]. Progress in Exploration Geophysics, 2003, 26(4): 282-286(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-KTDQ200304007.htm
    [31]
    刘吉余, 彭志春, 郭晓博. 灰色关联分析法在储层评价中的应用: 以大庆萨尔图油田北二区为例[J]. 油气地质与采收率, 2005, 12(2): 13-15. https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS200502004.htm

    Liu J Y, Peng Z C, Guo X B. Application of grey relation analysis to reservoir evaluation: Taking Bei 2 area, Saertu Oilfield, Daqing as an example[J]. Petroleum Geology and Recovery Efficiency, 2005, 12(2): 13-15(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS200502004.htm
    [32]
    朱兆群, 林承焰, 张苏杰, 等. 改进的模糊-灰色综合评判方法在储层定量评价中的应用: 以苏里格气田苏X井区盒8下亚段低渗透气藏为例[J]. 石油与天然气地质, 2017, 38(1): 197-208. https://www.cnki.com.cn/Article/CJFDTOTAL-SYYT201701022.htm

    Zhu Z Q, Lin C Y, Zhang S J, et al. Application of improved fuzzy-grey comprehensive evaluation method to quantitative reservoir evaluation: A case study of the low-permeability gas reservoirs of the lower part of 8th member of the Shihezi Formation in Su X block of Sulige Gasfield[J]. Oil & Gas Geology, 2017, 38(1): 197-208(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-SYYT201701022.htm
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article Views(964) PDF Downloads(602) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return