1887

Abstract

Summary

Quality Control (QC) is an essential way of seismic data processing follow up necessary to insure appropriateness of the final deliverables. Qualitative approach based mainly on visual analysis of spectra, gathers, sections, slices etc. before and after key processing steps is most commonly used for such a QC.

Introduction of so-called “well-driven/guided” methodology can be regarded as a shift towards more quantitative way for seismic data processing QC. In Total “Quantitative QC” methodology was extended even further beyond well-to-seismic ties by integration of different seismic attributes, numerical statistics from which provides quantification of seismic data quality in different domains (signal quality, its vertical, lateral and AVO stability and consistency etc.) after key stages of any particular processing workflow. The current paper describes main principles of “Quantitative QC” implementation followed by a real case example illustrating that it allowed not only evaluation of re-processing potential compared to the legacy dataset, but also comparison and ranking of 5 contractors participated in pilot re-processing competition.

However, it is believed that quantitative approach is not intended to fully substitute the qualitative one, but rather complement it providing broader vision on (re-)processing effectiveness and its eventual impact on seismic data quality.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201800239
2018-04-09
2024-03-29
Loading full text...

Full text loading...

References

  1. Araman, A., Paternoster, B., Isakov, D., Shchukina, N.
    [2012] Seismic Quality Monitoring during Processing: What Should We Measure?, SEG Las Vegas 2012 Annual Meeting.
    [Google Scholar]
  2. Paternoster, B., Lys, P.O., Crouzy, E., Pagliccia, B.
    [2009] Seismic Quality Monitoring during Processing for Reservoir Characterization, SEG Houston 2009 Annual Meeting.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201800239
Loading
/content/papers/10.3997/2214-4609.201800239
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error