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Related Experiment Videos

Streaming Potential Collection and Data Processing Techniques.

Reppert1, Morgan

  • 1Earth Resources Laboratory, Department of Earth Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, 42 Carleton Street, Cambridge, Massachusetts, 02142

Journal of Colloid and Interface Science
|December 21, 2000
PubMed
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This study compares streaming potential coupling coefficient collection and processing techniques. All methods yield similar results, but spectral analysis is superior for poor signal-to-noise ratios.

Area of Science:

  • Geophysics
  • Electrochemistry
  • Fluid dynamics

Background:

  • Streaming potential measurements are crucial for understanding fluid flow in porous media.
  • No prior research has comprehensively compared different data collection and processing techniques for streaming potential coupling coefficients.

Purpose of the Study:

  • To present and compare various time-varying and direct current (dc) streaming potential data collection and processing techniques.
  • To evaluate the performance of different methods under varying signal-to-noise conditions.

Main Methods:

  • Data collection: dc streaming potentials at various pressures, time-varying streaming potentials at varying pressures and frequencies, and raw time-varying data.
  • Data processing: dc filtering, root mean square (rms) processing, cross-correlation, spectral analysis, and raw data plotting.

Related Experiment Videos

  • Comparison of techniques based on resulting coupling coefficients and signal-to-noise ratio.

    • Main Results:

    • All processing techniques yielded comparable coupling coefficients within a 3% margin.
    • Satisfactory performance was observed across all methods when the signal-to-noise ratio was good.
    • Spectral analysis demonstrated superior performance compared to other methods when dealing with poor signal-to-noise ratios.

    Conclusions:

    • The choice of data collection method may depend on specific application requirements.
    • Spectral analysis offers a robust approach for streaming potential measurements, especially in noisy environments.
    • This comparison provides valuable insights for researchers and practitioners in geophysics and related fields.