Abstract

In this paper, the Nuclear Magnetic Resonance response of three sedimentary rocks (one sandstone and two carbonates) is modeled through random walk simulations. With this modeling, we aim to improve micro-porosity content and pore size estimation, by taking into account both surface relaxation and diffusive coupling. Experimental Magnetic Resonance data and microscopic image analysis are used to compare the results. We obtained a good match between simulated and experimental T2 distribution curves. Geometrical parameters used as inputs in the model provide macro- and micro-porosity content as well as pore sizes.

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