1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. Third EAGE Integrated Reservoir Modelling Conference
  5. Conference paper

Abstract

Summary

The goal of this work is to study the effectiveness (robustness, accuracy and speed) of an objective function in the context of seismic history matching; this aspect is the key component for a successful update of the reservoir model. Two main characteristics of the objective function are in focus: which seismic attributes should be matched to, and how to measure the matching. The sensitive factors currently studied are, the attributes at the simulation domain (pressure, water and gas maps, and combinations of these) and the metrics (Kendall Tau, L2 norm, Minimum ration, Pearson correlation) used to compare the two maps, from the seismic and from the model. The optimisation method used to perform the seismic history matching is an auto-adaptive differential evolution algorithm (SHADE). This study has been carried out on a North Sea field. Based on the results and analysis of the seismic history matching experiments, we are able to draw some practical recommendations, on what kind of objective function should be established to update the simulation model with seismic data.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201602402
2016-12-05
2024-04-20

  • From This Site

    /content/papers/10.3997/2214-4609.201602402
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Aranha, C., Tanabe, R., Chassagne, R. and Fukunaga, A.
    , Optimization of Oil Reservoir Models Using Tuned Evolutionary Algorithms and Adaptive Differential Evolution. IEEE Congress on Evolutionary Computation, Proceeding paper, 2015.
     [Google Scholar]
  2. Goshtasby, A.
    , A., Image Registration, Advances in Computer Vision and Pattern Recognition, 2012.
     [Google Scholar]
  3. Gosselin, O., Van den Berg, S., Cominelli, A.
    , Integrated History-Matching of Production and 4D Seismic Data. SPE 71599, SPE Annual Technical Conference and Exhibition, 2001.
     [Google Scholar]
  4. Haver, M. C., Aga, M., Reiso, E.
    , Integrated workflow for quantitative use of time-lapse seismic data in history matching: A North Sea field case. SPE Annual Technical Conference and Exhibition SPE 94453, 2005.
     [Google Scholar]
  5. Jin, L., Weber, D., Van Den Hoek, P., Alpak, F. O., Pirmez, C.
    , 4D seismic history matching using information from the flooded zone. First Break volume 30, July 2012.
     [Google Scholar]
  6. Kendall, M.G.
    : A new measure of rank correlation. Biometrika30, 81–93 (1938).
     [Google Scholar]
  7. Obidegwu, D., Chassagne, R. and MacBeth, C.
    Comparative Analysis of Binary and Conventional Seismic Assisted History Matching. EAGEVienna2016.
     [Google Scholar]
  8. Pearson, K.
    : Contributions to the mathematical theory of evolution, III, Regression, heredity, and panmixia. Philos. Trans. R. Soc. Lond. Ser. A187, 253–318 (1896).
     [Google Scholar]
  9. Roggero, F., Ding, D. Y., Berthet, P., Lerat, O., Cap, J. Schreiber, P.
    , Matching of Production History and 4D Seismic Data--Application to the Girassol Field, Offshore Angola. SPE Annual Technical Conference and Exhibition, SPE 109929, 2013.
     [Google Scholar]
  10. Tanabe, R. and Fukunaga, A.
    , Success-History Based Parameter Adaptation for Differential Evolution, in IEEE CEC, 2013, pp. 71–78.
     [Google Scholar]
  11. Tillier, E. Da Veiga, S. Derfoul, R.
    , Appropriate formulation of the objective function for the history matching of seismic attributes. Computers and Geosciences51, 64–73, 2013.
     [Google Scholar]
  12. Yin, Z., Ayzenberg, M., Macbeth, C., Feng, T., Chassagne, R.
    , Monitoring Reservoir and Overburden Change Enhancement of Dynamic Reservoir Interpretation by Correlating Multiple 4D Seismic Monitors to Well Behaviour. Interpretation Vol. 3, No. 2 (May 2015); p. SP35–52.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201602402
Loading
An Analysis of the Seismic History Matching Objective Function
Conference Proceedings 2016, 1 (2016); https://doi.org/10.3997/2214-4609.201602402
/content/papers/10.3997/2214-4609.201602402
/content/papers/10.3997/2214-4609.201602402
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

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