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Abstract

Summary

As three dimensional (3D) NMR spectrum could provide distributions of longitudinal relaxation time (T1), transverse relaxation time (T2) and diffusivity (D) simultaneously, it greatly improves the capacity of fluid identification, typing and quantitative evaluation. However, several challenges, which significantly hindering its wide applications, still exist. One of them is the expensive time and memory cost of the current 3D NMR inversion algorithms. In this paper, a novel 3D NMR inversion, namely randomized singular value decomposition (RSVD), was introduced. It could reduce the memory occupation and ensure the computational efficiency and accuracy. To further speed up the computational speed, window averaging technique (WA) is also adopted in this paper. Because of the efficiency and stability of this novel algorithm and the optimized method, the current research in this paper would further promote the widespread application of 3D NMR.

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/content/papers/10.3997/2214-4609.201800782
2018-06-11
2024-04-20

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References

  1. Dunn, K. J., Latorraca, G. A.
    [1999] The inversion of NMR log data sets with different measurement errors. Journal of Magnetic Resonance140, 153–161.
     [Google Scholar]
  2. George, R, Xiao, L.Z. Coates, et al.
    [1998] NMR logging principle and applications. Halliburton Energy Services.
     [Google Scholar]
  3. Hurlimann, M.D., Venkataramanan, L.
    [2002] Quantitative measurement of two-dimensional distribution functions of diffusion and relaxation in grossly inhomogeneous fields. Journal of Magnetic Resonance157, 31–42.
     [Google Scholar]
  4. HursanG., ChenS., MurphyE.
    [2005] New NMR two-dimensional inversion of T1/T2 app method for gas well petrophysical interpretation. Presented at the SPWLA 46th Annual Logging Symposium, New Orleans.
     [Google Scholar]
  5. ChenSonghua, ShaoWei, and BallietRon.
    [2016] New approaches of 3D NMR inversion for improving fluid typing, Interpretation, 3(2): SF67–SF79.
     [Google Scholar]
  6. Sun, B.Q, Duun, K. J., Duun, B.J., Van Dalen, S.C., Stonard, S.W.
    [2004] Two-dimensional NMR logging and field test results. Presented at the SPWLA 45th Annual Logging Symposium, Noordwijk, Netherlands.
     [Google Scholar]
  7. Sun, B.Q., Dunn, K.J.
    [2005] A global inversion method for multi-dimensional NMR logging. Journal of Magnetic Resonance40 (2), 152–160.
     [Google Scholar]
  8. Tan, M.J., Zou, Y.L.
    [2012] Two-dimensional nuclear magnetic resonance hybrid inversion method and observation parameters affected. Chin. Geophys.55 (2), 668–673.
     [Google Scholar]
  9. Xiao, L.Z. [1998] NMR Imaging Logging Principle and NMR Petrophysics Experiment (in Chinese). Beijing Science Press.
     [Google Scholar]
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A Novel Efficient Inversion Method for Three-Dimensional NMR
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201800782
/content/papers/10.3997/2214-4609.201800782
/content/papers/10.3997/2214-4609.201800782
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