Seis Line – QC services – Analysis

Seis Line QC – Analysis

The established workflows require that once the QA/QC statistical checks are computed then the analyst will examine the results and make an interpretation as the overall quality of the data.  Some examples of the the QC checks are as follows:

  • Determination of duplicate data
    • Duplicate lines
    • Duplicate event numbers
    • Duplicate event coordinates
  • Increment numbering
    • Do the events have regular numbering
    • Are there gaps in the numbering – thus suggesting missing data
    • Do gaps in the data reflect any physical logistical problems, e.g. lakes, rivers, mountainous terrain.
  • Distance computations
    • Do all adjacent events have regular spacing? e.g. shot point intervals.
    • Examine the standard deviation of the the distance computations.  What is the precision?  High or Low?
    • Spikes in the distance computations will indicate irregular shot point intervals or missing data.


  • Azimuth computations
    • Does the acquisition line follow a consistent azimuth or are there significant variations in azimuth
    • Do azimuth changes correlate with land features, e.g. following terrain or following a road?
    • Are the spikes in the line azimuth real or require editing?
  • Interval computations
    • Interval checks are made using time stamps contained within the data block.
    • For marine acquisition time between shot points should display a regular pattern or gradient
    • Gradual changes in interval may reflect tidal conditions increasing or decreasing.
    • Interval time series graphs should correlate with distance time series graphs.
    • Was the line shot on time or distance?



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