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CPMG relaxation by diffusion with constant magnetic field gradient in a restricted geometry: numerical simulation and
Gigi Q Zhang1, George J Hirasaki
1Baker Hughes Incorporated, Houston, TX, USA. gigi.zhang@bakerhughes.com
Carr-Purcell-Meiboom-Gill (CPMG) nuclear magnetic resonance (NMR) measurements are crucial for reservoir analysis. This study uses numerical methods to accurately interpret T(2) relaxation times influenced by diffusion and geometry, improving fluid property estimations.
Area of Science:
- Geophysics
- Nuclear Magnetic Resonance Spectroscopy
- Petroleum Engineering
Background:
- Carr-Purcell-Meiboom-Gill (CPMG) measurements are vital for nuclear magnetic resonance (NMR) well logging and laboratory analysis of reservoir properties.
- Accurate interpretation of spin-spin relaxation time (T(2)) distributions is essential for estimating bulk volume irreducible (BVI), permeability, and fluid types.
- Diffusion in inhomogeneous fields and restricted geometries complicates T(2) interpretation, especially for non-wetting fluids like oil and gas.
Purpose of the Study:
- To numerically evaluate the impact of field gradient, diffusion, and restricted geometry on CPMG relaxation.
- To reduce the complex parameter space to two dimensionless groups, D* and tau*, for analyzing relaxation regimes.
- To compare numerical simulation results with analytical solutions and refine the understanding of relaxation boundaries.
Main Methods:
- Employed a numerical method to simulate spin diffusion under varying system parameters, neglecting surface relaxation for non-wetting fluids.
- Reduced the relaxation process parameter space to dimensionless groups D* and tau*.
- Identified three distinct relaxation regimes: free diffusion, localization, and motionally averaging, within the (log(10)D*, log(10)tau*) domain.
Main Results:
- The normalized magnetization, M*, was found to relax as a single exponential with a constant dimensionless relaxation time, T*(2), across most of the parameter space.
- Numerical simulations and analytical solutions showed discrepancies in regime boundary locations when based on equal length scales.
- Adjusting boundaries by equalizing T*(2) led to excellent agreement between numerical and analytical results for all identified relaxation regimes.
Conclusions:
- The study successfully identified and characterized three distinct relaxation regimes in CPMG NMR measurements using numerical simulations.
- Refined understanding of relaxation regime boundaries by equalizing T*(2) improves the accuracy of analytical solutions.
- Fluid diffusivity and pore length can be reliably estimated from analytical solutions in the free diffusion and motionally averaging regimes, respectively, with numerical simulations aiding estimations near boundaries.
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