2004
DOI: 10.1360/03yw0111
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A new method for multi-exponential inversion of NMR relaxation measurements

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Cited by 17 publications
(7 citation statements)
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“…The NMR technique has been applied for formation evaluation purposes for several decades. The characteristics of fluid in the rock pores, effective porosity, permeability, movable and irreducible fluid volume, porous structure, and other geological information related to reservoir physical properties can be directly obtained by interpreting the NMR signals of hydrogen nucleus in fluid contained in the pores (Wang et al, 2001a;Weng et al, 2003;Al-Mahrooqi et al, 2003, 2006Tan and Zhao, 2006). Timur (1969) successfully applied the pulsed NMR to study the porosity, movable fluid, and permeability of sandstones.…”
Section: Introductionmentioning
confidence: 99%
“…The NMR technique has been applied for formation evaluation purposes for several decades. The characteristics of fluid in the rock pores, effective porosity, permeability, movable and irreducible fluid volume, porous structure, and other geological information related to reservoir physical properties can be directly obtained by interpreting the NMR signals of hydrogen nucleus in fluid contained in the pores (Wang et al, 2001a;Weng et al, 2003;Al-Mahrooqi et al, 2003, 2006Tan and Zhao, 2006). Timur (1969) successfully applied the pulsed NMR to study the porosity, movable fluid, and permeability of sandstones.…”
Section: Introductionmentioning
confidence: 99%
“…NMR spectrums are obtained from magnetic decay data, and the inversion problem can be reduced to the first kind of Fredholm integral equation which is ill conditioned in the sense that small noise in the data can cause significant changes in the resulting spectrum. Common methods presented to solve ill‐posed inverse Laplace transform problems are iterative and regularized algorithms such as uniform‐penalty, Butter‐Reeds‐Dawson, truncated singular value decomposition, simultaneous iterative reconstruction technique (SIRT), nonnegative least squares, and intelligent optimization algorithms such as genetic algorithm, simulated annealing, differential evolution, Monte Carlo, and Lloyd‐Max optimal quantization (Borgia et al, ; Song et al, ; Sun, ; Wang et al, ). Different methods for 1‐D NMR inversion are suitable for various kinds of raw data.…”
Section: Theory and Experimentsmentioning
confidence: 99%
“…The relaxation times of water in pore of different sizes are different. The clay-bound water, capillary-bound water, and movable water can be obtained by analyzing NMR log data [4,10] .…”
Section: Water Only In Poresmentioning
confidence: 99%