Research on applied logistic growth model to forecast production for lower Miocene, Bach Ho field

  • Tran Dang Tu
  • Dinh Duc Huy
  • Tran Xuan Quy
  • Pham Truong Giang
  • Le Vu Quan
  • Le The Hung
  • Le Quoc Trung
  • Tran Nguyen Long
Keywords: Logistic growth model, Oil production forecasting, Estimated ultimate recovery, Lower Miocene, Bach Ho field

Abstract

The paper presents the research on application of the logistic growth model to forecast production for the Lower Miocene in Bach Ho field by obtaining a set of decline curve parameters through fitting with production data using optimisation algorithms. The average relative error of the LGM model is 0.6%. The research results show that the logistic growth model has improved the ability to predict production with high reliability.

References

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Aaron James Clark, Larry Wayne Lake, Tadeusz Wiktor Patzek. Production forcasting with Logistic Growth Models. SPE Annual Technical Conference and Exhibition, Denver, Colorado, USA. 30 October - 2 November 2011.

Published
2019-09-30
How to Cite
Tran Dang Tu, Dinh Duc Huy, Tran Xuan Quy, Pham Truong Giang, Le Vu Quan, Le The Hung, Le Quoc Trung, & Tran Nguyen Long. (2019). Research on applied logistic growth model to forecast production for lower Miocene, Bach Ho field. Petrovietnam Journal, 9, 16-22. Retrieved from http://pvj.vn/index.php/TCDK/article/view/105
Section
Articles

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