1887

Abstract

Summary

In this work we present a methodology for optimal management of brownfields that is illustrated on a real field. The approach does not depend on the particular reservoir flow simulator used, although streamline-derived information is leveraged to accelerate the optimization. The method allows one to include (non-linear) constraints (e.g. a recovery factor larger than a given baseline value), which are very often challenging to address with optimization tools. We rely on derivative-free optimization coupled with the filter method for non-linear constraints. Performance in terms of wall-clock time can be improved further if distributed-computing resources are available (the method is amenable to parallel implementation). The methodology is showcased using a real field in west Siberia where net present value (NPV) is maximized subject to a constraint for the recovery factor. The optimization variables represent a discrete time series for well bottom-hole pressure over a fraction of the production time frame. An increase in NPV of 7.9% is obtained with respect to an existing baseline. The controls for one injection well in the real field were actually modified according to the solution determined in this work. The results obtained suggest improvement for most economic scenarios.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201900930
2019-06-03
2020-07-06
Loading full text...

Full text loading...

References

  1. Batycky, R.P. and Thiele, M.R.
    [2006] Using streamline-derived injection efficiencies for improved waterflood management. SPE Reservoir Evaluation & Engineering, 9(2), 187–196.
    [Google Scholar]
  2. Echeverría Ciaurri, D., Isebor, O.J. and Durlofsky, L.J.
    [2011] Application of derivative-free methodologies to generally constrained oil production optimisation problems. International Journal of Mathematical Modelling and Numerical Optimisation, 2(2), 134–161.
    [Google Scholar]
  3. Jansen, J.D. and Durlofsky, L.J.
    [2016] Use of reduced-order models in well control optimization. Optimization and Engineering, 1–28.
    [Google Scholar]
  4. Kolda, T.G., Lewis, R.M. and Torczon, V.
    [2003] Optimization by direct search: New perspectives on some classical and modern methods. SIAM Review, 45(3), 385–482.
    [Google Scholar]
  5. Koziel, S., Echeverría Ciaurri, D. and Leifsson, L.
    [2011] Computational Optimization, Methods and Algorithms, chap. Surrogate-Based Methods. Studies in Computational Intelligence. Springer, 33–59.
    [Google Scholar]
  6. Kramer, O., Echeverría Ciaurri, D. and Koziel, S.
    [2011] Computational Optimization, Methods and Algorithms, chap. Derivative-Free Optimization. Studies in Computational Intelligence. Springer, 61–83.
    [Google Scholar]
  7. Nocedal, J. and Wright, S.
    [2006] Numerical Optimization. Springer Series in Operations Research and Financial Engineering. Springer-VerlagNew York.
    [Google Scholar]
  8. Torczon, V.
    [1997] On the convergence of pattern search algorithms. SIAM Journal on Optimization, 7(1), 1–25.
    [Google Scholar]
  9. Ushmaev, O.S., Babin, V.M., Glavnov, N.G., Yaubatyrov, R.R., Echeverría Ciaurri, D., Golitsyna, M.V., Pozdneev, A.V. and Semenikhin, A.S.
    [2018] Efficient brownfield optimization of a reservoir in west Siberia. Petroleum Geoscience.
    [Google Scholar]
  10. Van Essen, G., Jansen, J.D., Brouwer, R., Douma, S.G., Zandvliet, M., Rollett, K.I. and Harris, D.
    [2010] Optimization of smart wells in the St. Joseph field. SPE Reservoir Evaluation & Engineering, 13(4), 588–595.
    [Google Scholar]
  11. Wen, T., Thiele, M.R., Echeverría Ciaurri, D., Aziz, K. and Ye, Y.
    [2014] Waterflood management using two-stage optimization with streamline simulation. Computational Geosciences, 18(3), 483–504.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900930
Loading
/content/papers/10.3997/2214-4609.201900930
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