Prediction of gas-water relative permeability in tight rock from movable fluid distribution with nuclear magnetic resonance

被引:4
|
作者
Wang, Fuyong [1 ,2 ]
Liu, Zhichao [2 ,3 ]
Yue, Hui [2 ]
机构
[1] China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
[2] China Univ Petr, Unconvent Petr Res Inst, Beijing 102249, Peoples R China
[3] China Natl Aviat Fuel Grp Ltd, Beijing 100088, Peoples R China
关键词
CAPILLARY-PRESSURE; NMR; MODEL; FLOW;
D O I
10.1063/5.0141543
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The measurement of the relative permeability in tight rock is challenging due to its ultralow permeability and the time-consuming nature of the experiments. Studying the movable and unmovable fluid distribution and establishing a reliable relative permeability prediction model is an urgent problem to be solved. This paper used nuclear magnetic resonance (NMR) to investigate movable and unmovable water distribution in tight sandstone under different centrifugal forces. A new method for predicting gas-water relative permeability in tight rock is established based on movable fluid distribution using the capillary bundle model. The results show that the distribution of movable and unmovable fluids is strongly influenced by the tight rock's pore size distribution and structure. The unmovable fluid saturation increases as the tight rock's permeability and median radius decrease. The nonlinear correlation between the NMR relaxation time and the pore throat size obtained from high-pressure mercury intrusion can be used to derive the pore size of the fluid distribution in tight rocks. The ratio of the movable fluid thickness to pore throat size increases near linearly with the logarithm of the pore throat size. The proposed mathematical model for the prediction of gas-water relative permeability based on movable fluid distribution is verified by comparing with the normalized relative permeability curve measured from experiments. This new model offers an alternative method of estimating the gas-water relative permeability when measurement is unavailable due to the ultralow permeability of the core samples.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Nuclear Magnetic Resonance T2 Distribution-Based Gas-Water Relative Permeability Prediction in Tight Sandstone Reservoirs: A Case Study on Central Sichuan Basin, China
    Wei, Hongyuan
    Xie, Ranhong
    Wang, Yuexiang
    Xie, Bing
    Lai, Qiang
    Guo, Jiangfeng
    [J]. ENERGY & FUELS, 2024, 38 (05) : 3598 - 3608
  • [2] Predicting gas-water relative permeability using Nuclear Magnetic Resonance and Mercury Injection Capillary Pressure measurements
    Wu, Feng
    Fan, Qicheng
    Huang, Dan
    Ma, Li
    Liang, Xiaoyu
    Sima, Liqiang
    [J]. JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2016, 32 : 35 - 47
  • [3] Experimental study on the permeability jail range of tight gas reservoirs through the gas-water relative permeability curve
    Gong, Wei
    You, Lijun
    Xu, Jieming
    Kang, Yili
    Zhou, Yang
    [J]. FRONTIERS IN PHYSICS, 2022, 10
  • [4] Gas-water relative permeability measurement of high temperature and high pressure tight gas reservoirs
    Fang Jianlong
    Guo Ping
    Xiao Xiangjiao
    Du Jianfen
    Dong Chao
    Xiong Yuming
    Long Fang
    [J]. PETROLEUM EXPLORATION AND DEVELOPMENT, 2015, 42 (01) : 92 - 96
  • [5] Analysis of movable fluid distribution in a clastic rock reservoir using nuclear magnetic resonance and computed tomography
    Yu, Hongwei
    Zhou, Daiyu
    Li, Shi
    Cheng, Hui
    Chen, Xinglong
    Han, Haishui
    Wang, Fuyong
    [J]. 2020 THIRD INTERNATIONAL WORKSHOP ON ENVIRONMENT AND GEOSCIENCE, 2020, 569
  • [6] PULSED NUCLEAR MAGNETIC RESONANCE STUDIES OF POROSITY MOVABLE FLUID AND PERMEABILITY OF SANDSTONES
    TIMUR, A
    [J]. JOURNAL OF PETROLEUM TECHNOLOGY, 1969, 21 (JUN): : 775 - &
  • [7] Experimental Study on Gas-Water Relative Permeability Characteristics of Tight Sandstone Reservoir in Ordos Basin
    Ren, Xiaoxia
    Li, Aifen
    Memon, Asadullah
    [J]. GEOFLUIDS, 2022, 2022
  • [8] An improved experimental procedure and mathematical model for determining gas-water relative permeability in tight sandstone gas reservoirs
    Zhang, Jianzhong
    Gao, Shusheng
    Wei, Xiong
    Ye, Liyou
    Liu, Huaxun
    Zhu, Wenqing
    Sun, Xiongwei
    Li, Xiaogang
    Zhu, Wentao
    [J]. GEOENERGY SCIENCE AND ENGINEERING, 2023, 221
  • [9] Novel Insights into the Movable Fluid Distribution in Tight Sandstones Using Nuclear Magnetic Resonance and Rate-Controlled Porosimetry
    Wang, Fuyong
    Zeng, Fanchao
    [J]. NATURAL RESOURCES RESEARCH, 2020, 29 (05) : 3351 - 3361
  • [10] Novel Insights into the Movable Fluid Distribution in Tight Sandstones Using Nuclear Magnetic Resonance and Rate-Controlled Porosimetry
    Fuyong Wang
    Fanchao Zeng
    [J]. Natural Resources Research, 2020, 29 : 3351 - 3361