1887

Abstract

Summary

Usually stratigraphic inversion is performed using an a priori model built without taking into account a 3D fault network. The model is then filled by extrapolating physical attributes from well logs, following a given mode of deposition within each geological unit of the geometrical framework. The aim of this work is to evaluate the added value of stratigraphic inversion using a 3D faulted a priori model.

We brought into focus a three-step workflow to build a 3D faulted a priori model, using only the original 3D fault geometry and interpreted seismic horizons. The resulting workflow output is a complete series of cubes filled up by several kinds of mandatory properties, not only geometrical like Azimuth, Dip of stratification, geological unit labels, but also physical attributes like elastic Impedances.

To achieve our goal, we considered the faulted and no-faulted a priori model to perform stratigraphic inversions of the Alwyn North Field case study (UK North Sea). Then we compared both inverted acoustic impedance overlaying the Top-Brent horizon with the initial interpreted fault network. The inversion results obtained with a faulted a priori model are enhanced in the faulted area.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201601339
2016-05-30
2024-04-26
Loading full text...

Full text loading...

References

  1. Bennis, C., Borouchaki, H., Dumont, C., Lerat, O. and Rainaud, J.F
    [2012]. 3D line-support grid flattening for more accurate geostatistical reservoir population with petrophysical properties. Springer Verlag Engineering with Computers DOI 10.1007/s00366‑012‑0311‑9
    https://doi.org/10.1007/s00366-012-0311-9 [Google Scholar]
  2. Borouchaki, H.
    [2008]. APLAT3D Surface Flattening Toolkit. University of Technology of Troyes.
    [Google Scholar]
  3. DhattG., TouzotG.
    [2001]. Méthode des éléments finis, ISBN 2-7637-6912-8 (presses de l’Université Laval).
    [Google Scholar]
  4. Dulac, J.C.
    [2009]. Advances in chrono-stratigraphic interpretation modeling. First Break, vol 27, page 69–72.
    [Google Scholar]
  5. Horna, S., Bennis, C., Crabie, T., Peltier, S., Rainaud, J.F., Poudret, M.
    [2010]. Extracting and Unfolding a Stratigraphic Unit to update property population. EAGE and ECMOR 2010.
    [Google Scholar]
  6. Morandini, M., Michel, B., Verney, P., Rainaud, J.F., Deny, L., Dulac, J.C., Fitzpatrick, T., Eastick, R.,Towery, L.
    [2011]. Using RESQML™ for Shared Earth Model Data Exchanges between Commercial Modelling Applications and In-House Developments, Demonstrated on Actual Subsurface Data. Digital Energy Conference 2011 Houston SPE143846
    [Google Scholar]
  7. Poudret, M., Bennis, C., Dumont, C, Lerat, O., Rainaud, J.F.
    [2012]. New flattening-based methodology for more accurate geostatistical reservoir populating. SPE/EUROPEC EAGE 2012.
    [Google Scholar]
  8. Rainaud, J.F., Clochard, V., Crabié, T. and Borouchaki, H.
    [2015]. Using a ChronoStratigraphic Unfolding Workflow to build an a priori model for Stratigraphic Inversion with accurate Horizon and Fault Fitting. SEG Technical Program Expanded Abstracts: pp. 1927–1931
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201601339
Loading
/content/papers/10.3997/2214-4609.201601339
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