• DocumentCode
    1664158
  • Title

    Computation of parameters in NMR using integral transforms: Tapered areas

  • Author

    Gruber, Fred K. ; Venkataramanan, Lalitha ; Freed, Denise E. ; Habashy, Tarek M.

  • Author_Institution
    Schlumberger-Doll Res. Center, Cambridge, MA, USA
  • fYear
    2013
  • Firstpage
    2829
  • Lastpage
    2833
  • Abstract
    This paper describes a method to compute tapered areas of a probability density function by means of integral transforms of its noisy Laplace transform. This problem is directly relevant to Nuclear Magnetic Resonance data for fluid and rock characterization. We describe integral transforms that are directly applicable to the measured magnetisation data, to estimate the tapered areas. In petrophysics, these tapered areas are useful in estimation of fluid saturations and bound and free fluid volumes. Since integral transforms are linear, uncertainty in the tapered areas can be computed as a function of signal-to-noise (SNR) in the data. Performance of these transforms is demonstrated on simulated data and compared to results from the traditional inverse Laplace transform.
  • Keywords
    Laplace transforms; magnetisation; nuclear magnetic resonance; probability; rock magnetism; rocks; NMR; SNR function; fluid characterization; fluid saturation estimation; free fluid volumes; integral transforms; measured magnetisation data; noisy Laplace transform; nuclear magnetic resonance data; parameter computation; petrophysics; probability density function; rock characterization; signal-to-noise; tapered area computation; traditional inverse Laplace transform; Kernel; Laplace equations; Nuclear magnetic resonance; Rocks; Standards; Transforms; Uncertainty; Inverse Laplace transform; Nuclear Magnetic Resonance; analysis of exponentially decaying data; petrophysics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638173
  • Filename
    6638173