Data quality for engineering self-potential surveys

Self-potential data quality depends on survey configuration and procedures, equipment selection and maintenance, recognition of sources of error and noise, and use of appropriate data reduction techniques. Survey procedures that minimize movement of the base reference electrode and account for electrode drift and polarization help to reduce the effects of cumulative error. Input impedance of the measuring instrument must be considerably greater than electrode contact resistance to avoid loading of the measurement circuit, and cable insulation integrity for prevention of ground loops is critical.

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