A rapid waterflooding optimization method based on INSIM-FPT data-driven model and its application to three-dimensional reservoirs

Author:

Liu Wei,Zhao Hui,Sheng Guanglong,Andy Li Huazhou,Xu Lingfei,Zhou Yuhui

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference65 articles.

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3. Al-Dousari MM, Garrouch AA. An artificial neural network model for predicting the recovery performance of surfactant polymer floods. J Petroleum Sci Eng; 2013:51–62.

4. Alghazal M. Development and Testing of Artifcial Neural Network Based Models for Water Flooding and Polymer Gel Flooding in Naturally Fractured Reservoirs. The Penn State University, University Park; 2015.

5. Development of a flow based dynamic gridding approach for fluid flow modeling in heterogeneous reservoirs;Amirsardari;J Nat Gas Sci Eng,2016

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