1887

Abstract

Summary

For the modeling of complex reservoirs with strong heterogeneity, for instance the deeply buried paleokarst reservoirs in the Tarim Basin, the traditional method by lateral interpolation and extrapolation of measured logs between well locations with the guiding of interpreted seismic horizons is driven by distance and often leads to non-geologic solutions, while the past improvements via adding seismic velocities or attributes information are still not accurate due to the resolution limitation or AV O (amplitude versus offset) effects contamination. In this paper, we present an amplitude-based modeling method by utilizing the heterogeneous information from seismic data to guide the geological model construction, based on the inverted pure P-wave data which have removed the AV O effects. The proposed method is applied in the impedance inversion of the paleokarst carbonate reservoirs in the Tarim Basin, where the reservoirs are characterized by substantial heterogeneity. Both the constructed Low frequency model (LFM) and the inverted impedance results of proposed method are more correlative with drilling data than that of traditional method. This method is more beneficial for strong heterogeneous reservoirs description especially in well insufficient or absent areas, suggested by the comparisons with traditional methods in the ZG8 area.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201600962
2016-05-30
2024-04-25
Loading full text...

Full text loading...

References

  1. Cerney, B., and Bartel, D.C.
    [2007] Uncertainties in low-frequency acoustic impedance models. The Leading Edge, 26, 74–87.
    [Google Scholar]
  2. Gidlow, P.M., Smith, G.C. and Vail, P.J.
    [1992] Hydrocarbon detection using fluid factor traces: A case history. Expanded Abstracts of the Joint SEG/EAEG Summer Research Workshop on "How Useful is Amplitude-Versus-Offset (AVO) Analysis?"78–89.
    [Google Scholar]
  3. Grant, S.
    [2013] The impact of low frequency models on reservoir property predictions. 75th EAGE Annual Meeting, Expanded Abstracts.
    [Google Scholar]
  4. Kumar, D., Sugianto, H., Li, S. et al.
    [2014] Using relative seismic impedance to predict porosity in the Eagle Ford shale. 84th SEG Annual Meeting, Expanded Abstracts.
    [Google Scholar]
  5. Lancaster, S. and Whitcombe, D.
    [2000] Fast track coloured inversion. 70th SEG Annual Meeting, Expanded Abstracts.
    [Google Scholar]
  6. Pedersen-Tatalovic, R., Uldall, A., Jacobsen, N.L. et al.
    [2008] Event-based low-frequency impedance modeling using well logs and seismic attributes. The Leading Edge, 27, 592–603.
    [Google Scholar]
  7. Zhang, Y., Sun, Z. and Fan, C.
    [2013] An Iterative A VO Inversion Workflow for S-wave Improvement. 75th EAGE Annual Meeting, Expanded Abstracts.
    [Google Scholar]
  8. Zhang, Y., Sun, Z., Yang, H., et al.
    [2011] Pre-stack inversion for caved carbonate reservoir prediction: A case study from Tarim Basin, China. Petroleum Science, 8, 415–421.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201600962
Loading
/content/papers/10.3997/2214-4609.201600962
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