1887

Abstract

Summary

This work presents an innovative method to predict rock properties within the seismic volume. The propagation of well log data is guided by a relative geological time model, resulting from a global seismic interpretation. Whereas most of the classical techniques are based on the propagation of the data along a few selected horizons with a vertical interpolation, the method proposes a global propagation directly inside the RGT model to reduce uncertainties in the prediction of the rock property. Among all the existing geostatistical methods, we have used inverse distance, kriging and cokriging for the interpolation. Since a volume is composed by various geologies characterized by the variability of the seismic facies, the parameters of the propagation have to be adjusted for each defined stratigraphic interval. Applied on a North Sea case study in the K05 area, this technique has shown successful results, where spatial and vertical heterogeneities of complex faulted deposits could be enhanced in the reservoir level. The method appears to be particularly efficient in strongly faulted areas where the interpretation is difficult. It can be used to generate velocity or synthetic model or, to some extent, the a priori model for the seismic inversion process.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201601229
2016-05-30
2024-03-28
Loading full text...

Full text loading...

References

  1. Beller, M., Lacaze, S., Pauget, F. and Mangue, M.
    [2012] Fast Leveraging of Seismic Information over Large Areas – A Central North Sea Case Study. 74th EAGE Conference & Exhibition, Extended Abstract, W046.
    [Google Scholar]
  2. Daynac, N., Lacaze, S., Mangue, M. and Pauget, F.
    [2014] Interpretation of Complex Faulted Deposits in the North Sea using the Relative Geological Time Model. 76th EAGE Conference & Exhibition, Extended Abstract, E108.
    [Google Scholar]
  3. Gupta, R., Cheret, T., Pauget, F. and Lacaze, S.
    [2008] Automated geomodeling a Nigeria case study. 70th EAGE Conference & Exhibition, Extended Abstract, B020.
    [Google Scholar]
  4. Isaaks, E.H. and Strivastava, R.M.
    [1989] An Introduction to Applied Geostatistics. Chapter 12, Oxford University Press.
  5. Lemaire, R., Pauget, F., Lopez, M., Gay, A. and Mangue, M.
    [2011] Seismic stratigraphic interpretation from a geological model – a North Sea case study. 81st Annual International Meeting, SEG, Expanded Abstract, 1134–1139.
    [Google Scholar]
  6. Pauget, F., Lacaze, S. and Valding, T.
    [2009] A Global Approach in Seismic Interpretation Based on Cost Function Minimization. 79th Annual International Meeting, SEG, Expanded Abstract, 5, 2592–2596.
    [Google Scholar]
  7. Schmidt, I., Lacaze, S., Pauget, F. and Docherty, M.
    [2010] Innovative 3D seismic interpretation and reservoir model construction using PaleoScan technology; a successful application in Angola. GSA Annual meeting, Denver.
    [Google Scholar]
  8. Vidalie, M., Van Buchem, F., Schmidt, I. and Uldall, A.
    [2012] Seismic Stratigraphy of lower Cretaceous Valhall Formation (Danish Graben, North Sea) – evidence for eustatic and local tectonic control. 74th EAGE Conference & Exhibition, Extended Abstract, W048.
    [Google Scholar]
  9. Wackernagel, H.
    [2003] Multivariate Geostatistics. An Introduction with Applications, Springer.
  10. Xu, W., Tran, T.T., Strivastava, R.M. and Journel, A.G.
    [1992] Integrating Seismic Data in Reservoir Modeling: The Collocated Cokriging Alternative. Society of Petroleum Engineers Inc.
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201601229
Loading
/content/papers/10.3997/2214-4609.201601229
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