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NMR characterizing mixed wettability under intermediate-wet condition.

Jie Wang1, Lizhi Xiao1, Guangzhi Liao2

  • 1State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China; Harvard SEAS-CUPB Joint Laboratory on Petroleum Science, Cambridge, MA 02138, USA.

Magnetic Resonance Imaging
|January 29, 2019
PubMed
Summary
This summary is machine-generated.

Effective relaxivity struggles to fully characterize mixed-wet porous media. This study uses a novel method to map surface relaxivity variations, accurately describing complex wettability distributions in rocks.

Keywords:
DDIF-CPMGDiffusionHeterogeneous wettabilityMixed wettabilitySurface relaxivity

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Area of Science:

  • Geophysics
  • Materials Science
  • Physical Chemistry

Background:

  • Effective relaxivity is commonly used to characterize fluid distributions in porous media.
  • In mixed-wet porous media, effective surface relaxivity fails to fully capture wettability due to complex fluid-solid interactions.
  • Different wetting patches interact with fluids uniquely, leading to varied surface relaxivity.

Purpose of the Study:

  • To develop a new method for characterizing wettability in mixed-wet porous media.
  • To investigate the relationship between surface relaxivity distribution and pore size distribution.
  • To redefine a parameter for evaluating mixed wettability under intermediate-wet conditions.

Main Methods:

  • Application of the decay due to diffusion in internal field plus Carr-Purcell-Meiboom-Gill (DDIF-CPMG) method.
  • Acquisition of T2 relaxation times and pore size distribution correlation.
  • Analysis of surface relaxivity variations from correlation maps.

Main Results:

  • The distribution of surface relaxivity was found to vary and correlate with pore size distribution.
  • Experimental results with limestones demonstrated changes in surface relaxivity distribution after wettability alteration.
  • The findings highlight the capability of the method to reveal mixed wettability features.

Conclusions:

  • The DDIF-CPMG method and surface relaxivity mapping offer a robust approach to characterize mixed wettability in porous media.
  • The study provides a new parameter for evaluating mixed wettability under intermediate-wet conditions.
  • Surface relaxivity distribution is a sensitive indicator of wettability heterogeneity and its correlation with pore structure.