1887

Abstract

Summary

A technique is proposed to quantitatively measure inter-well connectivity by correlating multiple 4D seismic monitors to historical well production data. We make use of multiple 4D seismic surveys shot over the same reservoir to generate an array of 4D seismic differences. Then a causative relationship is defined between 4D seismic signals and changes of reservoir fluid volumes caused by injection and production activities. This allows us to correlate seismic data directly to well data to generate a “well2seis” volume. It is found that the distribution of the “well2seis” correlation attributes reveals key reservoir connectivity features, such as the seal of faults, inter-reservoir shale and fluid flow pathways between wells, and can therefore enhance our interpretation on inter-well connectivity. Application of our proposed technique proves that the well2seis attribute agrees with geological interpretations better than conventional well connectivity factors based on engineering data only. Additionally, combining with a conventional inter-well study method, this multiple 4D seismic method is found to support the conventional inter-well approaches and can provide more robust and detailed interpretation.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201413458
2015-06-01
2020-04-04
Loading full text...

Full text loading...

References

  1. Huang, X. and Ling, Y
    , 2006, Water Injection Optimization Using Historical Production and Seismic Data. SPE Annual Technical Conference and Exhibition, San Antonio, Texas.
    [Google Scholar]
  2. Huseby, O., Andersen, M., Svorstl, I. and Dugstad
    , 2008, Improved understanding of reservoir fluid dynamics in the North Sea snorre field by combining tracers, 4D seismic, and production data. SPE Reservoir Evaluation and Engineering, 11, 768–777.
    [Google Scholar]
  3. Yousef, A.A., Gentil, P.H., Jensen, J.L. and Lake, L.W
    , 2006, A Capacitance Model To Infer Interwell Connectivity From Production and Injection Rate Fluctuations. SPE Reservoir Evaluation & Engineering, 9, 630 – 646.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201413458
Loading
/content/papers/10.3997/2214-4609.201413458
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