Obtaining a proton density distribution from nuclear magnetic resonance data
AssigneeChevron U.S.A. Inc.
InventorsRafael Salazar-Tio, Boqin Sun
Life of this patent
Estimating the term…
Abstract
A computer-implemented method enables a proton density distribution to be obtained. In one embodiment, the method comprises acquiring nuclear magnetic resonance data from porous media; inverting the nuclear magnetic resonance data via a global optimization algorithm to determine a proton density distribution within the porous media; and outputting the determined proton density distribution.
Claims25
A computer-implemented method of obtaining a proton density distribution, the method comprising:
- acquiring nuclear magnetic resonance data from porous media;
- inverting the nuclear magnetic resonance data via a global optimization algorithm to determine a proton density distribution within the porous media;
- and
- outputting the determined proton density distribution.
A computer-implemented method of obtaining a proton density distribution, the method comprising:
- acquiring nuclear magnetic resonance data from porous media;
- determining a proton density distribution of the porous media from the nuclear magnetic resonance data, wherein the proton density distribution comprises one or more spectra comprised of a plurality of predetermined zones, one or more of the predetermined zones having a peak of the distribution therein, and wherein determining the proton density distribution comprises parameterizing the proton density distribution according to a non-linear basis function by fitting a single basis component to the distribution in each of the predetermined zones that has a peak of the distribution therein;
- and
- outputting the determined proton density distribution.
A method of obtaining information related to a proton density distribution, the method comprising:
- acquiring nuclear magnetic resonance data from media;
- defining a function that implements the acquired nuclear magnetic resonance data and depends on m parameters of the proton density distribution such that the function is minimized as a solution for the m parameters of the proton density distribution is approached;
- implementing a global optimization algorithm to determine the solution for the m parameters of the proton density distribution;
- and
- outputting the solution for the m parameters of the proton density distribution.
Dependencies are inferred from the claim text.