1887

Abstract

Summary

We have demonstrated an approach for data-driven rock physics analysis, where we first do facies classification using elastic well log data from several wells, followed by facies-constrained regression analysis to establish local rock physics relations for prediction of Vp and Vs from geological input parameters. We have applied this approach to a multi-well log data set (40 wells) from a given area in the North Sea, focusing on Tertiary age reservoir sands. We show how we can derive very robust local empirical rock physics relations for prediction of P-wave and S-wave velocities as well as densities, for given combinations of porosity and clay volume. These results are more accurate than universal rock-physics models, even when the latter are locally calibrated. Using elastic facies with geological characteristics (cemented versus unconsolidated; normally compacted versus injectites; homogenous versus heterogeneous) helps to improve the predictability of the regression models. The local rock physics relations that we obtain can furthermore be used to create training-data for AVO classification in future projects.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201900794
2019-06-03
2024-03-29
Loading full text...

Full text loading...

References

  1. Avseth, P.
    , 2000: Combining rock physics and sedimentology for seismic reservoir characterization of North Sea turbidite systems; Unpublished PhD thesis, Stanford University.
    [Google Scholar]
  2. Avseth, P., Dræge, A., van-Wijngaarden, A-J., Johansen, TA., and Jørstd, A.
    , 2008: Shale rock physics and implications for AVO analysis: A North Sea demonstration; The Leading Edge, 27, 788–797.
    [Google Scholar]
  3. Dvorkin, J., and Nur, A.
    , 1996: Elasticity of high-porosity sandstones: Theory for two North Sea data sets; Geophysics, 61, 1363–1370.
    [Google Scholar]
  4. Han, D., Morgan, D., and Nur, A.
    , 1986: Effects of porosity and clay content on wave velocities in sandstones; Geophysics, 51, 2093–2107.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900794
Loading
/content/papers/10.3997/2214-4609.201900794
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