ISSN 1004-4140
CN 11-3017/P
LANG Dong-jiang, LUN Zeng-min, LÜ Cheng-yuan, PAN Wei-yi, SUN Ai-jun. Study of Tight Sandstone Reservoir Core Fluid Parameters by NMR[J]. CT Theory and Applications, 2015, 24(2): 251-259. DOI: 10.15953/j.1004-4140.2015.24.02.10
Citation: LANG Dong-jiang, LUN Zeng-min, LÜ Cheng-yuan, PAN Wei-yi, SUN Ai-jun. Study of Tight Sandstone Reservoir Core Fluid Parameters by NMR[J]. CT Theory and Applications, 2015, 24(2): 251-259. DOI: 10.15953/j.1004-4140.2015.24.02.10

Study of Tight Sandstone Reservoir Core Fluid Parameters by NMR

More Information
  • Received Date: November 14, 2014
  • Available Online: December 05, 2022
  • The fluid parameters of tight sandstone reservoir core are studied by using nuclear magnetic resonance (NMR) technology. Principle of nuclear magnetic resonance measuring fluid parameter of tight sandstone reservoir and method of computing the core fluid parameters are described. Experiments to determine the core fluid using T2 cutoff value method, tight sandstone reservoir classification evaluation are researched by using movable fluid. Nuclear magnetic resonance (NMR) measurement of core oil saturation and movable fluid saturation in the oil field, the movable fluid saturation and oil saturation to identify oil and water layer are researched. The result shows that the T2 cutoff value of Honghe oil area is 4.06 ms. By using tight sandstone reservoir core movable fluid level division standard, the tight sandstone reservoir classification evaluation between different layer of single well and multiple well is made. Comparison between Nuclear magnetic resonance (NMR) technology and conventional method of measuring oil saturation in the oil field indicates that nuclear magnetic resonance measurement is feasible and reliable. The value of core oil saturation and movable fluid saturation ratio can identify oil and water layer.
  • Related Articles

    [1]GE Daming, SONG Jianguo. Q-factor Estimation Method Based on Time-varying Wavelet[J]. CT Theory and Applications, 2025, 34(4): 640-649. DOI: 10.15953/j.ctta.2024.320
    [2]WANG Yu’ang, GAO Hewei, ZHANG Li. Removal of Gridline Artifacts in Cone-beam CT Based on Wavelet Transform[J]. CT Theory and Applications, 2023, 32(4): 437-449. DOI: 10.15953/j.ctta.2022.233
    [3]YOU Long-ting, SONG Jian-guo, YU Hui-zhen, WANG Yue-lei. Analysis of the Influence Factors on the Time-Frequency Spectrum Obtained by Synchrosqueezing Wavelet Transform based on Reconstruction of Analytic Signal[J]. CT Theory and Applications, 2017, 26(3): 267-278. DOI: 10.15953/j.1004-4140.2017.26.03.02
    [4]GONG Shu, REN Qin-qin, WANG Min-ling. Application of Parabolic Radon Transform in the Suppression of Multiple Seismic Wave[J]. CT Theory and Applications, 2017, 26(2): 165-176. DOI: 10.15953/j.1004-4140.2017.26.02.05
    [5]FAN Hua, ZHAO Guo-chun, HAN Yan-jie, LIU Ming-jun, LI Xiao-qin, SUN Yong-jun. Image Fusion in Combination of the Improved IHS Transform and Wavelet Transform[J]. CT Theory and Applications, 2014, 23(5): 761-770.
    [6]FENG Xia, SHI Chao, DING Wen-bo, FENG Yan, HAO Zhen-ping. The Complication of Spectral Analysis Based on Fourier Transform in the Tire X-ray Detection[J]. CT Theory and Applications, 2014, 23(3): 453-458.
    [7]ZHANG Xi-le, HUANG Jing, LIU Nan, LU Li-jun, MA Jian-hua, CHEN Wu-fan. Wavelet-Transform Based Low-Dose CT Projection Filtering[J]. CT Theory and Applications, 2011, 20(2): 163-171.
    [8]XUE Hui, ZHANG Li, LIU Yi-nong. Overview of Nonuniform Fast Fourier Transformation[J]. CT Theory and Applications, 2010, 19(3): 33-46.
    [9]DONG Fang, HU Liang, LI Bo-lin, LI Ming, CHEN Hao, WANG Yuan, ZHANG Cheng-xin, XU Zhou. Contour Data Denoise Based on Inter-Scale Correlations of Contourlet Transform[J]. CT Theory and Applications, 2008, 17(4): 62-66.
    [10]Zhang Tie, Yan Jiabin. The Error Analysis of Improved Fourier Algorithm for Solving Radon Transform[J]. CT Theory and Applications, 2000, 9(1): 12-16.

Catalog

    Article views (743) PDF downloads (4) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return