Experimental Study on Multi-Layer Waterflooding in Low-Permeability Carbonate Reservoirs by NMR

  • Xingwang ShiEmail author
  • Zhengming Yang
  • Yapu Zhang
  • Guangya Zhu
  • Qianhua Xiao
Conference paper
Part of the Springer Series in Geomechanics and Geoengineering book series (SSGG)


In consideration of the heterogeneity of low-permeability carbonate reservoir in M reservoirs of H oilfield, carried out multi-layer waterflooding physical simulation experiment, and based on the nuclear magnetic resonance (NMR) technique, studied the micro-distribution of residual oil and recovery degree of three different permeability combination. Results show that to the different pore structure types, NMR tests have different The greater permeability, NMR T2 relaxation spectrum further to right, the higher the peak, indicating more movable fluid. The difference of permeability range has certain influence on residual oil and recovery degree of multi-layer waterflooding, residual oil, and recovery degree in absolute and relative values of different permeability combination are quite different. The larger the permeability contrast, small pores have less residual oil relative value and greater recovery degree relative value; residual oil and recovery degree absolute values are mainly distributed in large pores, less in small pores. In same permeability contrast, the low-permeability samples of residual oil are greater than high-permeability samples, and the exploitation potential of large pores is still enormous.


Multi-layer waterflooding Low-permeability reservoir Carbonate reservoir NMR 



Thanks to my tutors, Dr. Yang Zhengming and Zhang Yapu, for their professional guidance and patient supervisions.


  1. 1.
    Menger S, Prammer M (1998) Can NMR porosity replace conventional porosity in formation evaluation. Spwla Annual Logging Symposium 5:26–29Google Scholar
  2. 2.
    Wang W, Li P, Ye C (2001) Multi-exponential inversion of nuclear magnetic resonance relaxation. Sci China Ser A 31(8):59–65Google Scholar
  3. 3.
    Guo G, Gu C (2005) Experimental study of active pore distribution during water driving by using NMR. J Xi’an Shiyou University (Natural Science Edition) 20(5):45–48Google Scholar
  4. 4.
    Wang R, Sun W, Yang H (2010) Micro mechanism of water drive in ultra-low permeability sandstone reservoir. J Lanzhou University (Natural Edition) 46(6):29–33Google Scholar
  5. 5.
    Quan H, Zhu Y, Zhang H et al (2011) Reservoir pore structure and micro-flow characteristics of waterflooding: a case study from Chang-6 reservoir of Wangyao block in Ansai oilfield. Oil Gas Geol 32(6):952–960Google Scholar
  6. 6.
    Watson AT, Chang CTP (1997) Characterizing porous media with NMR methods. Prog Nucl Magn Reson Spectrosc 31(4):343–386CrossRefGoogle Scholar
  7. 7.
    Vincent B, Fleury M, Santerre Y et al (2011) NMR relaxation of neritic carbonates: an integrated petrophysical and petrographical approach. J Appl Geophys 74(1):38–58CrossRefGoogle Scholar
  8. 8.
    Wang X, Yang Z, Li H et al (2010) Experimental study on pore structure of low permeability core with NMR spectra. J Southwest Petroleum University (Science & Technology Edition) 32(2):69–72Google Scholar
  9. 9.
    Yan Q, Zhao H, Sima L et al (2010) A study of NMR experiments of carbonates. Nat Gas Ind 30(1):36–38Google Scholar
  10. 10.
    Liu H, Xu C, Hu Z (2011) Research on microcosmic remaining oil distribution by NMR. Spec Oil Gas Reservoirs 18(1):96–97Google Scholar
  11. 11.
    Li Z, Liu W, Sun D et al (2011) Experimental study on T2 cutoff value of the movable fluid in high-porosity low-permeability carbonate rock. J Xi’an Shiyou University (Natural Science Edition) 26(5):53–55Google Scholar
  12. 12.
    Sun T, Yan W, Wang H et al (2016) Developing a new NMR-based permeability model for fractured carbonate gas reservoirs. J Nat Gas Sci Eng 35:906–919CrossRefGoogle Scholar
  13. 13.
    Xiao Q, Zhang Y, Yang Z et al (2013) NMR study on the characteristics of the cores from middle east carbonate reservoirs. Sci Technol Eng 13(22):6415–6420Google Scholar
  14. 14.
    Talabi O, Blunt MJ (2010) Pore-scale network simulation of NMR response in two-phase flow. J Petrol Sci Eng 72(1–2):1–9CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Xingwang Shi
    • 1
    • 2
    Email author
  • Zhengming Yang
    • 2
    • 3
  • Yapu Zhang
    • 2
    • 3
  • Guangya Zhu
    • 3
  • Qianhua Xiao
    • 4
  1. 1.University of Chinese Academy of SciencesBeijingChina
  2. 2.Department of Porous Flow & Fluid Mechanics of Chinese Academy of SciencesLangfangChina
  3. 3.PetroChina Research Institute of Petroleum Exploration and DevelopmentBeijingChina
  4. 4.Chongqing University of Science and TechnologyChongqingChina

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