Forecasting Oil Production Time Series with a Population-Based Simulated Annealing Method

Author:

Frausto-Solís Juan,Chi-Chim Manuel,Sheremetov Leonid

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference57 articles.

1. U.S. Energy Information Administration: International energy outlook 2013. Technical Report, U.S. Department of Energy (2013)

2. Rahuma K.M., Mohamed H., Hissein N., Giuma S.: Prediction of reservoir performance applying decline curve analysis. Int. J. Chem. Eng. Appl. 4, 74–77 (2013)

3. Makinde F.A., Orodu O.D., Ladipo A.O., Anawe P.A.L.: Cumulative production forecast of an oil well using simplified “hyperbolic–exponential” decline models. Glob. J. Res. Eng. 12(2), 27–40 (2012)

4. Chi, M.; Frausto-Solis, J.; Sheremetov, L.: Soft computing algorithms for nonlinear regression applied to decline curve analysis. In: Villa-Vargas, L., Sheremetov, L., Haasis, H.D. (eds) Workshop on Operations Research and Data Mining, ORADM 2012, Workshop Proceedings, pp. 210–217 (2012)

5. Box G.E.P., Jenkins G.M.: Time Series Analysis: Forecasting and Control. Holden-Day, San Francisco (1976)

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