1887

Abstract

Summary

The objective of this study is to characterise the Jurassic Posidonia Shale Formation at Block Q16 located in the West Netherlands Basin. The characterisation was carried out through combining rock-physics modelling and seismic inversion techniques. The results show that the Posidonia Shale Formation can be followed easily laterally from the output rock property volumes, in particularly the acoustic impedance volume. This is an advantage when horizontal drilling needs to be performed. A brittleness index map was built from the Poisson’s ratio and Young’s modulus properties. A more brittle area was observed in the South of the mapped Posidonia Shale, which implicates that this area is easier to be fractured.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201414407
2015-11-15
2024-03-29
Loading full text...

Full text loading...

References

  1. Justiniano, A.
    [2014] Reservoir Characterisation of the Jurassic Posidonia Shale Formation and the Triassic Deposits of the Main Buntsandstein Subgroup by Seismic Inversion Methods, Block Q16, West Netherlands Basin. Master thesis Applied Earth Sciences. Delft University of Technology. Delft. The Netherlands.
    [Google Scholar]
  2. Mavko, G., Mukerji, T. and Dvorkin, J.
    [2009] The Rock Physics Handbook: Tools for Seismic Analysis of Porous Media. Cambridge University Press. Second Edition, 511.
    [Google Scholar]
  3. Perez, R. and Marfurt, K.
    [2013] Calibration of Brittleness to Elastic Rock Properties via Mineralogy Logs in Unconventional Reservoirs. University of Oklahoma, Norman, Oklahoma.
    [Google Scholar]
  4. Speight, J.G.
    [2013] Shale Gas Production Processes. Elsevier, 120.
    [Google Scholar]
  5. Treadgold, G., McLainB. and Sinclair, S.
    [2010] Eagle Ford shale prospecting with 3D seismic data. SEG Denver 2010 Annual Meeting.
    [Google Scholar]
  6. van Bergen, F., Zijp, M., Nelskamp, S. and Kombrink, H.
    [2013] Shale Gas Evaluation of the Early Jurassic Posidonia Shale Formation and the Carboniferous Epen Formation in the Netherlands. In: Chatellier, J. and Jarvie, D. (Eds) Critical assessment of shale resource plays. AAPG Memoir, 103, 1–24.
    [Google Scholar]
  7. Verma, S., Roy, A., Perez, R. and Marfurt, K.J.
    [2012] Mapping high frackability and high TOC zones in the Barnett Shale: Supervised Probabilistic Neural Network vs. Unsupervised multi-attribute Kohonen SOM. University of Oklahoma. SEG Las Vegas 2012 Annual Meeting.
    [Google Scholar]
  8. Xu, S. and White, R.E.
    [1995] A new velocity model for clay-sand mixtures. Geophysical Prospecting, 43(1), 91–118.
    [Google Scholar]
  9. [1996] A physical model for shear-wave velocity prediction. Geophysical Prospecting, 44(4), 687–717.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201414407
Loading
/content/papers/10.3997/2214-4609.201414407
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