TY - JOUR
T1 - A systematic approach for modeling of waterflooding process in the presence of geological uncertainties in oil reservoirs
AU - Hourfar, Farzad
AU - Salahshoor, Karim
AU - Zanbouri, Hosein
AU - Elkamel, Ali
AU - Pourafshary, Peyman
AU - Moshiri, Behzad
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/3/4
Y1 - 2018/3/4
N2 - In this paper, a systematic approach which is able to consider different types of geological uncertainty is presented to model the waterflooding process. The proposed scheme, which is based on control and system theories, enables the experts to apply suitable techniques to optimize the production. By using the developed methodology, a reasonable mapping between defined system inputs and outputs in frequency domain and around a specific operating point is established. In addition, a nominal model for the process as well as a lumped representation for uncertainty effects are provided. Based on the proposed modeling mechanism, reservoir management goals can be pursued in the presence of uncertainty by utilization of complicated control and optimization strategies. The developed algorithm has been simulated on 10th SPE-model#2. Observed results have shown that the introduced methodology is able to effectively model the dynamics of waterflooding process, while taking into account the assumed induced geological uncertainty.
AB - In this paper, a systematic approach which is able to consider different types of geological uncertainty is presented to model the waterflooding process. The proposed scheme, which is based on control and system theories, enables the experts to apply suitable techniques to optimize the production. By using the developed methodology, a reasonable mapping between defined system inputs and outputs in frequency domain and around a specific operating point is established. In addition, a nominal model for the process as well as a lumped representation for uncertainty effects are provided. Based on the proposed modeling mechanism, reservoir management goals can be pursued in the presence of uncertainty by utilization of complicated control and optimization strategies. The developed algorithm has been simulated on 10th SPE-model#2. Observed results have shown that the introduced methodology is able to effectively model the dynamics of waterflooding process, while taking into account the assumed induced geological uncertainty.
KW - Geological realization of reservoir
KW - K-means clustering
KW - Robust control and optimization
KW - System identification
KW - Uncertainty quantification
KW - Waterflooding process
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U2 - 10.1016/j.compchemeng.2017.12.012
DO - 10.1016/j.compchemeng.2017.12.012
M3 - Article
AN - SCOPUS:85042634148
SN - 0098-1354
VL - 111
SP - 66
EP - 78
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
ER -