1887

Abstract

Summary

The multi-disciplinary aspects involved in the creation of a reservoir model require integration of information from different sources, such as geophysics and geology. The confidence in a prior static model can be increased by ensuring consistency between the geophysical and geological knowledge. Nevertheless, ensuring a correct integration of different sources of information is challenging and inconsistencies are often introduced during the modelling process. In particular, the final static model may not be consistent with the 3D seismic data. Some important challenges lie in the difficulty to accurately simulate 3D seismic data from the model, as well as to assess the similarity with the observed data focusing on the differences of interest.

In that respect, we present and apply a methodology which allows testing different concepts and parameters while building a static model and assists in evaluating its pertinence to observed data. Our approach can be integrated in a multi-realizations framework and the results can be used in a co-visualization project. Using the Grane field as a case study, we show how different modelling concepts and parameters can be tested and evaluated using the proposed tool.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201800791
2018-06-11
2024-04-16
Loading full text...

Full text loading...

References

  1. AleriniM., AyzenbergM., EkT. T., FengT., HustoftL., LieE. O., LiuS., SkjeiN., SkjervheimJ.-A.
    [2014] Utilization of time-lapse seismic for reservoir model conditioning. Extended abstracts, 76th EAGE Conference & Exhibition, We G102 10.
    [Google Scholar]
  2. Ball, M., Bradley, J., Davies, B., Fowler, S., Hance, T., Riviere, R., Selwood, C
    [2017] History Matching with Automated Integration of 4D seismic.
    [Google Scholar]
  3. Inglada, J., and Gregoire, M.
    [2007] A new statistical similarity measure for change detection in multitemporal SAR images and its extension to multiscale change analysis. IEEE Transactions of Geoscience and Remote Sensing, 45 (5), 1432–1445.
    [Google Scholar]
  4. Niri, M.E., and LumleyD.E.
    [2015] Simultaneous optimization of multiple objective functions for reservoir modeling. Geophysics, 80(5), M53–M67.
    [Google Scholar]
  5. Skjervheim, J.A., van Lanen, X., Hulme, D., Røine Stenerud, V., Zachariassen, E., Liu, S., Hove, J., and Evensen, G.
    [2012] Integrated workflow for consistent model building from depth conversion to flow simulation – North Sea field case. Extended abstracts, 74th EAGE Conference & Exhibition, D 034.
    [Google Scholar]
  6. Tabatabaei, M., Milovac, J., Bastidas, R, Lau, R., and Jameson, E.
    [2014] North Sea Case Study of an Integrated Sim2Seis Workflow, Society of Petroleum Engineers 170710-MS.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201800791
Loading
/content/papers/10.3997/2214-4609.201800791
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