Abstract
In recent years, the demand for oil field resources is increasing year by year. After the primary oil recovery, secondary oil recovery and tertiary oil recovery, the major oilfields have entered the middle and late stage of development, and the whole oilfield development is difficult to further increase. In order to meet the needs of oilfield development and create higher economic benefits, major oilfields are actively exploring tertiary oil recovery technology, and strive to use new technology to enhance oil recovery, which has broad development prospects. Based on this, this paper analyzes the relevant strategies of EOR in the tertiary oil recovery stage, which is conducive to promoting the high and stable production of China’s oilfields and promoting the steady development of the oilfield industry.
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Wang, Q. (2021). RNN Neural Network for Recovery Characteristic System of Resistant Polymer. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_108
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DOI: https://doi.org/10.1007/978-3-030-79200-8_108
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