NMR of Confined Fluids: a Numerical Study using COMSOL with application in Petrophysics
Ivan S. Oliveira

TL;DR
This study uses numerical simulations with COMSOL to analyze NMR signals in confined fluids, providing insights into pore size estimation and fluid interactions relevant for petrophysics.
Contribution
It presents a novel numerical approach to simulate pulsed NMR in confined geometries considering surface relaxivity and fluid coupling, advancing petrophysical analysis methods.
Findings
Pore sizes can be roughly estimated from transverse relaxation in fast diffusion regimes.
Simulations demonstrate the impact of fluid coupling on NMR spectra.
The study discusses potential follow-up research directions using COMSOL.
Abstract
Nuclear Magnetic Resonance (NMR) is one of the main experimental tools to evaluate the production potential of porous rocks in oil wells. From the relative areas and mean values obtained from relaxation time distribution curves, information about fluid content, porosity and permeability can be obtained. In this report, a numerical study of pulsed NMR of confined fluids using the software COMSOL (license 9200972) is presented. This is done by solving the Bloch-Torrey equations considering surface relaxivity using the "flux/source" boundary conditions for different geometries, in the fast and slow diffusion regimes. The study is made for a single fluid and for a mixture of two coupled fluids (McConnell equations), first in isolated pores, and then in a "cylindrical porous plug" containing one single 20 microns spherical pore surrounded by 800 X 2 microns, unconnected, also spherical ones.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNMR spectroscopy and applications · Hydrocarbon exploration and reservoir analysis · Seismic Imaging and Inversion Techniques
