1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. GeoBaikal 2018
  5. Conference paper

Abstract

Summary

This paper presents a workflow with application of assisted history matching tool for updating and improving reservoir models. In this approach the best-matched reservoir model or an ensemble of models is selected for production forecasting. Furthermore, the convergence of the reservoir model is rated by History-Matching Assessment Form proposed by the authors. This allows the user to visualize and control the selection of the most reliable production forecasts. Afterwards, a set of final production forecasts with uncertainty assessment is made based on ensemble of best-matched reservoir models. The proposed workflow was applied to a large producing field in Eastern Siberia. It shows the usability and meets production forecasting challenges. In addition, the method can improve understanding of uncertainty of a target formation to revisit field development strategy. This helps to obtain correct well performance for acceptable history match and production forecast. Up to threefold speed-up is reached as a result of replacement of manually corrected and time-consuming history matching by automated iterations using assisted history matching software. By analogy, it is possible to apply the workflow to development projects where reservoir parameters often tend to have wide variability, particularly those cases that are in lack of formation uncertainty studies.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201802022
2018-08-11
2024-04-23

  • From This Site

    /content/papers/10.3997/2214-4609.201802022
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Ivanov, E. N., Akinin, D. V., Valeev, R. R., Nikulin, E. V., and Sultanov, R. B.
    [2016]. Development of Reservoir with Gas Cap and Underlying Water on Srednebotuobinskoye Field. Society of Petroleum Engineers. doi: 10.2118/182055‑MS
     https://doi.org/10.2118/182055-MS [Google Scholar]
  2. Levanov, A. N., Belyansky, V. Y., Volkov, I. A., Anuriev, D. A., Grinchenko, V. A., Neftegazodobycha, T.-Y., and Musabirov, T. R.
    [2015]. Concept Baseline for the Development of a Major Complex Field in Eastern Siberia using Flow Simulation. Society of Petroleum Engineers. doi: 10.2118/176636‑MS
     https://doi.org/10.2118/176636-MS [Google Scholar]
  3. Maucec, M., De Matos Ravanelli, F. M., Lyngra, S., Zhang, S. J., Alramadhan, A. A., Abdelhamid, O. A., and Al-Garni, S. A.
    [2016]. Ensemble-Based Assisted History Matching With Rigorous Uncertainty Quantification Applied to a Naturally Fractured Carbonate Reservoir. Society of Petroleum Engineers. doi: 10.2118/181325‑MS
     https://doi.org/10.2118/181325-MS [Google Scholar]
  4. Oliver, D.S. and Chen, Y.
    [2010]. Recent Progress on Reservoir History Matching: a Review. Computational Geoscience15 (1): 185–221. doi: 10/1007/s10596‑010‑9194‑2
     https://doi.org/10/1007/s10596-010-9194-2 [Google Scholar]
  5. Rivera, N., Meza, N. S., Kim, J. S., Clark, P. A., Garber, R., Fajardo, A., and Pena, V.
    [2007]. Static and Dynamic Uncertainty Management for Probabilistic Production Forecast in Chuchupa Field, Colombia. Society of Petroleum Engineers. doi: 10.2118/100526‑PA
     https://doi.org/10.2118/100526-PA [Google Scholar]
  6. Schaaf, T., Coureaud, B. and Labat. N.
    [2008]. Using Experimental Design, Assisted History Matching Tools and Bayesian Framework to get Probabilistic Production Forecasts. Paper SPE 113498-MS presented at the Europec/EAGE Conference and Exhibition, Rome, Italy, 9–12 June. doi: 10.2118/113498‑MS
     https://doi.org/10.2118/113498-MS [Google Scholar]
  7. Shahkarami, A., Mohaghegh, S. D., and Hajizadeh, Y.
    [2015]. Assisted History Matching Using Pattern Recognition Technology. Society of Petroleum Engineers. doi: 10.2118/173405‑MS
     https://doi.org/10.2118/173405-MS [Google Scholar]
  8. Wadsley, A. W.
    [2005]. Markov Chain Monte Carlo Methods for Reserves Estimation. International Petroleum Technology Conference. doi: 10.2523/IPTC‑10065‑MS
     https://doi.org/10.2523/IPTC-10065-MS [Google Scholar]
  9. Zhang, Y., and Srinivasan, S.
    [2003]. Markov Chain Monte Carlo for Reservoir Uncertainty Assessment. Petroleum Society of Canada. doi: 10.2118/2003‑084
     https://doi.org/10.2118/2003-084 [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201802022
Loading
On Application of Assisted History Matching to Reliable Production Forecasting
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201802022
/content/papers/10.3997/2214-4609.201802022
/content/papers/10.3997/2214-4609.201802022
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