1887

Abstract

Summary

A clay distribution classification scheme was applied to a joint ultrasonic and resistivity datasets for shaly reservoir sandstones, allowing us to identify pore-filling and load-bearing shale and their effects on P- and S-wave velocity, attenuation and electrical resistivity at 60 MPa effective pressure. Reservoir sandstones with load-bearing shale form a distinct trend to clean and pore-filling shale sandstones in resistivity-velocity cross plots, and show decreasing attenuation with increasing resistivity. The results give useful information for improved hydrocarbon reservoir characterisation from joint property inversions.

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/content/papers/10.3997/2214-4609.201600807
2016-05-30
2024-03-28
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References

  1. Böhm, G. et al.
    [2015] Cross-well seismic and electromagnetic tomography for CO2 detection and monitoring in a saline aquifer. Journal of Petroleum Science and Engineering, 133, 245–257. Available at: http://linkinghub.elsevier.com/retrieve/pii/S0920410515300206.
    [Google Scholar]
  2. Du, Z. & MacGregor, L.
    [2009] Reservoir parameter estimation from joint inversion of marine CSEM and seismic AVO data using the genetic algorithms. 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009.
    [Google Scholar]
  3. Gal, D., Dvorkin, J. & Nur, A.
    [1999] Elastic-wave velocities in sandstones with non-load-bearing Clay. Geophysical Research Letters, 26(7), 939–942.
    [Google Scholar]
  4. Han, T., Best, A.I., et al.
    [2011a] Joint elastic-electrical effective medium models of reservoir sandstones. Geophysical Prospecting, 59(2008), 777–786.
    [Google Scholar]
  5. [2011b] Joint elastic-electrical properties of reservoir sandstones and their relationships with petrophysical parameters. 518–535.
    [Google Scholar]
  6. Jensen, E.H. et al.
    [2012] Consistent joint elastic-electrical differential effective-medium modelling of compacting reservoir sandstones. Geophysical Prospecting, p.no–no. Available at: http://doi.wiley.com/10.1111/1365-2478.12014.
    [Google Scholar]
  7. Mavko, G. & Mukerji, T.
    [1998] A rock physics strategy for quantifying uncertainty in common hydrocarbon indicators. Geophysics, 63(6), 1997.
    [Google Scholar]
  8. Mavko, G., Mukerji, T. & Dvorkin, J.
    [2009] The rock physics handbook: Toolsfor seismic analysis in porous media, Cambridge University Press. Available at: https://books.google.com/books?hl=en&lr=&id=2yzcyUqEqskC&pgis=1 [Accessed February 6, 2015].
    [Google Scholar]
  9. Sørensen, M., Best, A.I. & Fabricius, I.
    [2015] Classification of sandstone by shale distribution and the effects on saturated elastic moduli. 3Iwrp.Org, pp.1–4. Available at: http://3iwrp.org/submissions/abstracts/AB_MS20141211-RAD89CCB.pdf.
    [Google Scholar]
  10. Sorensen, M.K.
    [2015] Mud filtrate correction of sonic logs by fluid subtitution Modulus and pore fluid coupling by pore filling clay.
    [Google Scholar]
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