Streaming Potential Collection and Data Processing Techniques

Abstract

To date, no comprehensive comparison of streaming potential coupling coefficient collection or processing techniques has been made. Here, time-varying streaming potential and dc streaming potential data collection and processing techniques are presented and compared. The time-varying streaming potential data include sinusoidal and transient data. The collection techniques include acquiring dc streaming potentials at various pressures, acquiring time-varying streaming potentials at varying pressure, acquiring streaming potentials as a function of frequency, and collecting time-varying raw data. The processing techniques include dc filtering, rms processing, cross-correlation, spectral analysis, and plotting of raw time-varying streaming potential versus raw pressure data. The results show that all processing methods yield the same coupling coefficient within 3%. The analysis also shows that if there is a good signal-to-noise ratio, all processing methods perform satisfactorily. If the signal-to-noise ratio is poor, then the spectral analysis outperforms the other processing methods. The data collection methods are all adequate, but individual applications may make one method superior to another. Copyright 2001 Academic Press.