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Quantification of microemulsion systems using low-field T1-weighted imaging.

Delphine Herrera1, Thibaud Chevalier1, Marc Fleury1

  • 1IFP Energies nouvelles, 1 et 4 avenue de Bois-Préau, 92852 Rueil-Malmaison Cedex, France.

Magnetic Resonance Imaging
|August 15, 2021
PubMed
Summary

This study introduces a novel NMR imaging technique for analyzing microemulsions used in enhanced oil recovery. The method provides non-destructive, quantitative composition profiles, improving the representativity of model systems for better process efficiency.

Keywords:
MicroemulsionNMRQuantificationT(1)-weighted

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Area of Science:

  • Petroleum Engineering
  • Physical Chemistry
  • Materials Science

Background:

  • Microemulsions are crucial for Enhanced Oil Recovery (EOR), aiding crude oil extraction from reservoirs.
  • Current quantification methods for microemulsion model systems are often destructive, time-consuming, and unsuitable for complex or opaque crude oils.
  • The representativity of simplified model systems for EOR is questioned due to neglected kinetics and crude oil complexity.

Purpose of the Study:

  • To develop a non-destructive, quantitative method for analyzing microemulsion composition.
  • To assess the kinetic aspects and representativity of microemulsion model systems for EOR.
  • To provide a tool for understanding the behavior of co-surfactant, oil, and brine in Winsor microemulsions.

Main Methods:

  • High-resolution T1-weighted magnetic resonance imaging (NMR) technique.
  • Analysis of 1D composition profiles (co-surfactant, oil, brine) in Winsor I, III, and II microemulsions.
  • Correlation of NMR results with X-Ray Micro-CT experiments for validation.

Main Results:

  • The developed NMR method provides quantitative, non-destructive 1D composition profiles of microemulsion components.
  • Results were validated against X-Ray Micro-CT, demonstrating method accuracy.
  • Conditions for the NMR method's validity and potential limitations were established.

Conclusions:

  • The proposed NMR imaging technique offers a significant advancement for characterizing microemulsions in EOR research.
  • This method enhances the representativity of model systems by providing kinetic and compositional insights.
  • The technique holds potential for broader applications involving similar microemulsion systems.