Enhanced oil recovery for ASP flooding based on biorthogonal spatial-temporal Wiener modeling and iterative dynamic programming
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Publication:1722950
DOI10.1155/2018/9248161zbMath1407.93069OpenAlexW2897629157MaRDI QIDQ1722950
Yuhuan Shi, Yu-Lei Ge, Shu-Rong Li
Publication date: 19 February 2019
Published in: Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/9248161
Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24) Dynamic programming (90C39)
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- On the univalence of an integral operator
- An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems
- Spatiotemporal analysis of complex signals: Theory and applications
- Identification of finite-dimensional models of infinite-dimensional dynamical systems
- A sum operator with applications to self-improving properties of Poincaré inequalities in metric spaces
- Optimization of ASP flooding based on dynamic scale IDP with mixed-integer
- Dirichlet ARMA models for compositional time series
- Stabilization by Artificial Wiener Processes
- Optimal control of polymer flooding based on mixed-integer iterative dynamic programming
- Optimal control by dynamic programming using systematic reduction in grid size
- Production and Inventory Model Using Net Present Value
- Turbulence, Coherent Structures, Dynamical Systems and Symmetry
- Recursive Least Squares for Censored Regression
- A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation
- Bipartite Approximation for Graph Wavelet Signal Decomposition
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