ISSN 0253-2778

CN 34-1054/N

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A new data inversion analysis method based on digital filtered pump-stop data of hydraulic fracturing

  • 1.

    Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China

  • 2.

    CNPC Xibu Drilling Engineering Company Limited, Karamay 834027, China

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2018.05.008
  • Received Date: 25 May 2016
  • Accepted Date: 16 February 2017
  • Rev Recd Date: 16 February 2017
  • Publish Date: 31 May 2018
    Abstract

  • Abstract

    Hydraulic fracturing is currently the main method of exploiting tight gas and oil. The pump-stop pressure and flow-rate data measured during hydraulic fracturing process contains a great deal of important information, such as the formation pressure, permeability and fracture half-length. These parameters are significant judgment to decide post-fracturing mining system. A new method of pump-stop data-inversion analysis method based on digital filtered pump-stop flow-rate and density-changing pressure data of hydraulic fracturing was presented. Firstly, the ground pressure was converted to the well bottom pressure according to the vertical pipe flow theory. The obtained bottom pressure data, also known as pump-stop pressure data, was processed through the FIR filter to eliminate the interference of water hammer and other noise signals. Finally, the filtered data, which contains the information of formation permeability and initial pressure, was processed according to vertical fracture well test analysis. This new method has been proved reliable by comparing it with pressure build-up, making real-time evaluation of fracture and formation information possible.

    Abstract

    Hydraulic fracturing is currently the main method of exploiting tight gas and oil. The pump-stop pressure and flow-rate data measured during hydraulic fracturing process contains a great deal of important information, such as the formation pressure, permeability and fracture half-length. These parameters are significant judgment to decide post-fracturing mining system. A new method of pump-stop data-inversion analysis method based on digital filtered pump-stop flow-rate and density-changing pressure data of hydraulic fracturing was presented. Firstly, the ground pressure was converted to the well bottom pressure according to the vertical pipe flow theory. The obtained bottom pressure data, also known as pump-stop pressure data, was processed through the FIR filter to eliminate the interference of water hammer and other noise signals. Finally, the filtered data, which contains the information of formation permeability and initial pressure, was processed according to vertical fracture well test analysis. This new method has been proved reliable by comparing it with pressure build-up, making real-time evaluation of fracture and formation information possible.
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    • References(18)
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    陈劲松, 刘艳伟. 基于窗函数的FIR数字滤波器设计[J]. 制造业自动化, 2012, 34(17):104-105.
    CHEN Jingsong, LIU Yanwei. Based on the window function of the FIR digital filter design[J]. Manufacturing Automation, 2012, 34(17):104-105.
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    孔祥言,卢德唐. 渗流力学的理论应用及其前沿研究[J]. 中国科学技术大学学报,2007,37(10):1262-1266.
    KONG Xiangyan, LU Detang. Application and development of fluid in multipore media flowing[J]. Journal of University of Science and Technology of China, 2007, 37(10):1262-1266.)
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    [1]
    唐颖,唐玄,王广源,等. 页岩气开发水力压裂技术综述[J]. 地质通报,2011,30: 393-399.
    TANG Ying, TANG Xuan, WANG Guangyuan, et al. Summary of hydraulic fracturing technology in shale gas development[J]. Geological Bulletin of China, 2011, 30: 393-399.
    [2]
    丁波. 页岩气水平井压裂技术研究[D].西安:西安石油大学,2014.
    [3]
    李雪, 赵志红, 荣军委. 水力压裂裂缝微地震监测测试技术与应用[J]. 油气井测试, 2012, 21(3):43-45.
    [4]
    吴柏志, 李军. 电位法井间监测技术在压裂裂缝监测中的应用[J]. 石油地质与工程, 2011, 25(2):126-128.
    WU Baizhi, LI Jun. Application of monitoring technology based on the electrometric method inter well in fracturing monitoring[J]. Petroleum Geology and Engineering, 2011, 25(2):126-128.
    [5]
    姜瑞忠,李林凯,徐建春，等. 低渗透油藏非线性渗流新模型及试井分析[J]. 石油学报,2012,32(2):264-268.
    JIANG Ruizhong, LI Linkai, XU Jianchun, et al. A nonlinear mathematical model for low-permeability reservoirs and well-testing analysis[J]. Acta Petrolei Sinica, 2012, 32(2):264-268.
    [6]
    YAN Q, LEMANSKI C, KARPYN Z T, et al. Experimental investigation of shale gas production impairment due to fracturing fluid migration during shut-in time[J]. Journal of Natural Gas Science & Engineering, 2015, 24:99-105.
    [7]
    郭伟,张博,李建勋，等. 通过小型压裂测试对地层渗透率、储层压力和裂缝性能测定新方法[J]. 辽宁化工,2014,43(2): 210-212.
    GUO Wei，ZHANG Bo，LI Jianxun，et al. New method for determination of formation permeability, reservoir pressure and fracture properties from a minifrac test[J]. Liaoning Chemical Industry, 2014, 43(2): 210-212.
    [8]
    BARNHOORN A, MAGALHAES B S, SUBBIAH S K, et al. A novel approach for predicting in-situ breakdown conditions for wireline mini-fracture testing[C]// 2013 SPE European Formation Damage Conference & Exhibition. Richardson, TX: Society of Petroleum Engineers, 2013: SPE-165186-MS.
    [9]
    JONES J, BRITT L K. Design and Appraisal of Hydraulic Fractures[M]. Richardson, Texas: Society of Petroleum Engineers, 2009.
    [10]
    BARREE R D, BARREE V L, CRAIG D, et al. Holistic Fracture Diagnostics[C]// Rocky Mountain Oil & Gas Technology Symposium 2007. Richardson, TX: Society of Petroleum Engineers, 2007: SPE-107877-MS
    [11]
    CHOI S K, HUANG W S. Impact of Water Hammer in Deep Sea Water Injection Wells[C]// SPE Annual Technical Conference and Exhibition 2011. Richardson, TX: Society of Petroleum Engineers, 2011: SPE-146300-MS.
    [12]
    黄夏,王海. 零相位低通滤波方法试探[J]. 实用测试技术,1999(6):10-13.
    [13]
    王晓磊. 低产气井井筒压力分布及流态研究[D]. 西安:西安石油大学, 2010.
    [14]
    ECONOMIDES M J, MARTIN T. Modern Fracturing: Enhancing Natural Gas Production [M]. Houston, TX: ET Publishing, 2007: 178-179.
    [15]
    杨远东,邓志光. 停泵水锤计算及其防护措施[J]. 中国给水排水,2000,16(5): 29-32.
    [16]
    李庚银, 陈志业，宁宇. 快速傅里叶变换的两种改进算法[J]. 电力系统自动化, 1997,21(12):37-40.
    LI Gengyin, CHEN Zhiye, NING Yu. Two modified algorithms for fast Fourier transform[J]. Automation of Electric Power Systems, 1997, 21(12):37-40.
    [17]
    陈劲松, 刘艳伟. 基于窗函数的FIR数字滤波器设计[J]. 制造业自动化, 2012, 34(17):104-105.
    CHEN Jingsong, LIU Yanwei. Based on the window function of the FIR digital filter design[J]. Manufacturing Automation, 2012, 34(17):104-105.
    [18]
    孔祥言,卢德唐. 渗流力学的理论应用及其前沿研究[J]. 中国科学技术大学学报,2007,37(10):1262-1266.
    KONG Xiangyan, LU Detang. Application and development of fluid in multipore media flowing[J]. Journal of University of Science and Technology of China, 2007, 37(10):1262-1266.)
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