1887

Abstract

Summary

Organic rich shale and non-organic rich shale are usually developed together in Xiuwu Basin, and well logging data reveals that they can be differentiated by integrated elastic attributes. However, previous explorations show that the pre-stack method is not satisfying due to the poor quality of seismic data in this area. Furthermore, it is always a difficult task to conduct an AV O inversion precisely due to two factors: severe influence of initial Vp/Vs model for linear AV O inversion and intensive tendency of easily falling into local optimization for non-linear AVO inversion. For a better organic rich shale prediction, an integrated pre-stack method including advanced data conditioning and iterative inversion is elaborately designed and successfully applied. Therefore, the proposed approach and its corresponding application are of significant importance to current knowledge for organic rich shale prediction.

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/content/papers/10.3997/2214-4609.201600771
2016-05-30
2024-04-23
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References

  1. Zou, C. et al.
    [2010] Geological characteristics, formation mechanism and resource potential of shale gas in China. Petroleum Exploration and Development, 37(12), 0641–0654.
    [Google Scholar]
  2. Wang, Z.
    [2015] Breakthrough of Fuling shale gas exploration and development and its inspiration. Oil & Gas Geology, 36(01), 0001–0007.
    [Google Scholar]
  3. Sun, S.Z., Wang, P., He, G., Liu, W., Liu, Z. et al.
    [2015] Pure–P data inversion and its application in thin gas shale bed prediction. 85th Annual International Meeting, SEG, Extended Abstracts.
    [Google Scholar]
  4. Zhang, J., Zhang, Y. and Sun, S.Z.
    [2012] The influence of data conditioning for AVO/AVA pre-stack inversion. Oil Geophysical Prospecting, 47(2), 0068–0074.
    [Google Scholar]
  5. Zhang, Y., Sun, S.Z. and FanC.
    [2014] An iterative AVO inversion workflow for pure P-wave computation and S-wave improvement. The first break, 32, 23–26.
    [Google Scholar]
  6. Zhang, Y., Sun, S.Z., Fan, C. and Bai, H.
    [2011] Data conditioning for pre-stack inversion: a case study from Xingma area, Liaohe Oil field, China. 73rd EAGE Conference & Exhibition incorporating SPE EUROPEC 2011 Vienna.
    [Google Scholar]
  7. Taner, M.T. and SingletonS.
    . [2004] 3D application of edge-preserving smoothing: The “EPS3D” algorithm. Rock Solid Images Technical Report.
    [Google Scholar]
  8. HampsonD.
    [1986] Inverse velocity stacking for multiple elimination. 56th Annual International Meeting, SEG, Extended Abstracts.
    [Google Scholar]
  9. Hampson, D.
    [1987] The discrete Radon transform: A new tool for image enhancement and noise suppression. 57th Annual International Meeting, SEG, Extended Abstracts
    [Google Scholar]
  10. Taner, M.T.
    [2004] Conditional alignment of trace gathers. Rock Solid Images Technical Report.
    [Google Scholar]
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