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基于返排数据计算页岩气井压裂有效体积的方法及应用

王益民 李继庆 万云强 刘莉 张谦 朱朝光 汤亚顽

王益民, 李继庆, 万云强, 刘莉, 张谦, 朱朝光, 汤亚顽. 基于返排数据计算页岩气井压裂有效体积的方法及应用[J]. 石油实验地质, 2023, 45(6): 1215-1220. doi: 10.11781/sysydz2023061215
引用本文: 王益民, 李继庆, 万云强, 刘莉, 张谦, 朱朝光, 汤亚顽. 基于返排数据计算页岩气井压裂有效体积的方法及应用[J]. 石油实验地质, 2023, 45(6): 1215-1220. doi: 10.11781/sysydz2023061215
WANG Yimin, LI Jiqing, WAN Yunqiang, LIU Li, ZHANG Qian, ZHU Chaoguang, TANG Yawan. Method of estimating the effective fracture volume of shale gas wells using flowback data and its application[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2023, 45(6): 1215-1220. doi: 10.11781/sysydz2023061215
Citation: WANG Yimin, LI Jiqing, WAN Yunqiang, LIU Li, ZHANG Qian, ZHU Chaoguang, TANG Yawan. Method of estimating the effective fracture volume of shale gas wells using flowback data and its application[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2023, 45(6): 1215-1220. doi: 10.11781/sysydz2023061215

基于返排数据计算页岩气井压裂有效体积的方法及应用

doi: 10.11781/sysydz2023061215
基金项目: 

中国石油化工股份有限公司科技部项目“页岩气开发调整区动态分析方法与生产规律研究” P21011

详细信息
    作者简介:

    王益民(1991—),男,博士,副研究员,从事非常规油气田开发研究。E-mail: swpuwym@163.com

  • 中图分类号: TE37

Method of estimating the effective fracture volume of shale gas wells using flowback data and its application

  • 摘要: 页岩气多段压裂水平井的缝网参数通常利用产气数据解释获得。虽然对产气数据进行解释能得到裂缝参数,但很难获得压裂有效体积。为快捷地获取页岩气井压裂有效体积,该研究建立了页岩气多段压裂水平井压裂液返排数学模型,并结合水相物质平衡方程和渗流方程,推导获得了页岩气井多段压裂水平井压裂有效体积表达式。通过分析模型解发现,在边界控制流阶段产量规整化压力与物质平衡时间双对数曲线为单位斜率直线,利用该阶段产量规整化压力及物质平衡时间数据,可以计算页岩气井压裂有效体积,从而形成了一套基于压裂液返排数据计算页岩气井压裂有效体积的方法。实例应用表明:(1)构建的页岩气多段压裂水平井压裂液返排模型能快速地计算页岩气井压裂有效体积,且计算结果可靠;(2)计算页岩气井压裂有效体积不能忽略试气期间的压裂液返排数据,否则计算结果偏小;(3)形成的页岩气井压裂有效体积计算方法还能识别邻井压裂干扰,并定量化表征邻井压裂干扰对页岩气井压裂有效体积的影响。该研究成果为油田现场估算页岩气井压裂有效体积提供了一种新的方法,同时也为油田现场识别邻井压裂干扰提供了新的思路和方法。

     

  • 图  1  页岩气多段压裂水平井物理模型

    Figure  1.  Physical model for multiple-fractured horizontal wells in shale gas reservoirs

    图  2  裂缝内流体流动示意

    Figure  2.  Fluid flow in fractures

    图  3  涪陵页岩气田X1井产量规整化压力与物质平衡时间双对数诊断图版

    Figure  3.  Double logarithmic diagnostic chart of rate-normalized pressure and material balance time of well X1 in Fuling shale gas field

    图  4  涪陵页岩气田X1井边界控制流阶段产量规整化压力与物质平衡时间关系曲线

    Figure  4.  Relationship curves between rate-normalized pressure and material balance time during the boundary dominated flow stage of well X1 in Fuling shale gas field

    图  5  涪陵页岩气田X2井产量规整化压力与物质平衡时间双对数诊断图版

    Figure  5.  Double logarithmic diagnostic chart of rate-normalized pressure and material balance time of well X2 in Fuling shale gas field

    图  6  涪陵页岩气田X2井边界控制流阶段产量规整化压力与物质平衡时间关系曲线

    Figure  6.  Relationship curves between rate-normalized pressure and material balance time during the boundary dominated flow stage of well X2 in Fuling shale gas field

  • [1] 王永胜. 页岩气水平井产能评价方法研究[D]. 成都: 西南石油大学, 2015.

    WANG Yongshen. Research on productivity evaluation of shale gas horizontal well[D]. Chengdu: Southwest Petroleum University, 2015.
    [2] 纪国法, 张公社, 许冬进, 等. 页岩气体积压裂支撑裂缝长期导流能力研究现状与展望[J]. 科学技术与工程, 2016, 16(14): 78-88. https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS201614016.htm

    JI Guofa, ZHANG Gongshe, XU Dongjin, et al. Research and prospect of long-term fracturing conductivity in volumetric fracturing for shale gas reservoir[J]. Science Technology and Engineering, 2016, 16(14): 78-88. https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS201614016.htm
    [3] BELLO R O. Rate transient analysis in shale gas reservoirs with transient linear behavior[D]. Texas: Texas A & M University, 2009.
    [4] EL-BANBI A H. Analysis of tight gas well performance[D]. Texas: Texas A & M University, 1998.
    [5] MEDEIROS F, OZKAN E, KAZEMI H. Productivity and drainage area of fractured horizontal wells in tight gas reservoirs[J]. SPE Reservoir Evaluation & Engineering, 2008, 11(5): 902-911.
    [6] OZKAN E, RAGHAVAN R, APAYDIN O G. Modeling of fluid transfer from shale matrix to fracture network[C]//SPE Annual Technical Conference and Exhibition. Florence, Italy: SPE, 2010.
    [7] ABBASI M A, EZULIKE D O, DEHGHANPOUR H, et al. A comparative study of flowback rate and pressure transient behavior in multifractured horizontal wells completed in tight gas and oil reservoirs[J]. Journal of Natural Gas Science and Engineering, 2014, 17: 82-93. doi: 10.1016/j.jngse.2013.12.007
    [8] ILK D, ANDERSON D M M, STOTTS G W J, et al. Production data analysis: challenges, pitfalls, diagnostics[J]. SPE Reservoir Evaluation & Engineering, 2010: 13(3): 538-552.
    [9] ALKOUH A, WATTENBARGER R A. New advances in shale reservoir analysis using flowback data[C]//SPE Eastern Regional Meeting. Pittsburgh, Pennsylvania, USA: SPE, 2013.
    [10] ZOLFAGHARI A, DEHGHANPOUR H, GHANBARI E, et al. Fracture characterization using flowback salt-concentration transient[J]. SPE Journal, 2016, 21(1): 233-244. doi: 10.2118/168598-PA
    [11] CRAFTON J W, GUNDERSON D W. Stimulation flowback mana-gement: keeping a good completion good[C]//SPE Annual Technical Conference and Exhibition. Anaheim, California, USA: SPE, 2007.
    [12] CLARKSON C R. Modeling 2-phase flowback of multi-fractured horizontal wells completed in shale[C//SPE Canadian Unconventional Resources Conference. Calgary, Alberta, Canada: SPE, 2012.
    [13] ABBASI M A, DEHGHANPOUR H, HAWKES R V. Flowback analysis for fracture characterization[C]//SPE Canadian Unconventional Resources Conference. Calgary, Alberta, Canada: SPE, 2012.
    [14] CLARKSON C R, WILLIAMS-KOVACS J D. A new method for modeling multi-phase flowback of multi-fractured horizontal tight oil wells to determine hydraulic fracture properties[C]//SPE Annual Technical Conference and Exhibition. New Orleans, Louisiana, USA: SPE, 2013.
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出版历程
  • 收稿日期:  2023-08-31
  • 修回日期:  2023-10-16
  • 刊出日期:  2023-11-28

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