NMR measurements of the spin—lattice relaxation decay time for a fluid in a porous solid have been previously demonstrated as a significant tool for pore size/structure analysis. The analysis requires the solution of a Fredholm integral equation of the first kind to extract the desired T1, and therefore, pore size distribution from the relaxation measurements. Earlier work successfully used a nonnegative least-squares (NNLS) technique to solve this problem. However, for stability to be achieved with that approach, the problem must be significantly overconstrained (i.e., more relaxation measurements than pore size distribution points) which limits resolution. In addition, broad distributions are represented as several narrow peaks. In this work, the method of regularization is applied to extracting continuous pore volume distributions from relaxation measurements. The validity of the approach used to calculate the optimum value of the regularization smoothing parameter given an expected noise level and the data is demonstrated using “data sets” generated from known T1 distributions. Varying levels of random noise are added to these data sets and the T1 distribution is calculated for comparison to the starting distribution. For error levels in the range of 0.001 to 0.01, agreement between the starting and the calculated distributions is good. The method has also been applied to relaxation data obtained for water in several controlled pore glasses and “random packing of sphere” solids. Agreement to NMR/regularization and mercury porosimetry-derived pore size distributions was excellent with the only deviations being the result of porosimetry measuring pore neck size and NMR measuring the true pore volume to surface area ratio.
[1]
C. Lawson,et al.
Solving least squares problems
,
1976,
Classics in applied mathematics.
[2]
Kevin P. Munn,et al.
A NMR technique for the analysis of pore structure: Numerical inversion of relaxation measurements
,
1987
.
[3]
Kevin P. Munn,et al.
A NMR technique for the analysis of pore structure: Application to materials with well-defined pore structure
,
1987
.
[4]
D. G. Huizenga,et al.
Knudesen diffusion in random assemblages of uniform spheres
,
1986
.
[5]
A. N. Tikhonov,et al.
Solutions of ill-posed problems
,
1977
.
[6]
James P. Butler,et al.
Estimating Solutions of First Kind Integral Equations with Nonnegative Constraints and Optimal Smoothing
,
1981
.
[7]
Stephen D. Senturia,et al.
Nuclear Spin-Lattice Relaxation of Liquids Confined in Porous Solids
,
1970
.
[8]
Douglas M. Smith,et al.
Mercury porosimetry: Theoretical and experimental characterization of random microsphere packings
,
1986
.
[9]
Douglas M. Smith.
Adsorption and condensation in random microsphere packings
,
1986
.
[10]
K. R Brownstein,et al.
Spin-lattice relaxation in a system governed by diffusion
,
1977
.