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- W4241462505 abstract "Polymer flooding is an important oil recovery technology, which is essentially a strong nonlinear and time-varying distributed parameter system (DPS). Most of the existing modeling work ignore the dynamic description of the reservoir intermediate states, resulting in a low prediction accuracy. Therefore, a multi-compensated spatiotemporal modeling method is developed in this paper. The highlights of the model constructed includes two aspects: (i) a bi-layer structure is designed, to describe the relationship between polymer injection inputs-reservoir intermediate states-moisture contents of production wells, (ii) a multi-compensated mechanism, including online updating of spatial dominant basis functions and time coefficients, is supplemented to reflect real-time spatiotemporal dynamics and minimize modeling error. At last, an actual polymer flooding case study is taken, and the better performance metric verifies the effectiveness and superiority of the proposed modeling method." @default.
- W4241462505 created "2022-05-12" @default.
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- W4241462505 date "2021-10-22" @default.
- W4241462505 modified "2023-10-16" @default.
- W4241462505 title "Multi-compensated Spatiotemporal Modeling For Polymer Flooding Distributed Parameter System" @default.
- W4241462505 doi "https://doi.org/10.1109/cac53003.2021.9728541" @default.
- W4241462505 hasPublicationYear "2021" @default.
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