Reservoir-system simulation and optimization techniques
Reservoir-system simulation and optimization techniques
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DOI：
10.1007/s00477-013-0711-4
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发表时间：
2013-03
影响因子：
4.2
通讯作者：
Sabah S. Fayaed;A. El-Shafie;O. Jaafar
中科院分区：
文献类型：
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作者：
Sabah S. Fayaed;A. El-Shafie;O. Jaafar
水库调度是摆在水资源规划和管理人员面前的难题之一。在发展中国家，大部分地区的最终用户由水部门代表，有关水的冲突在机构一级得到解决。本文概述了模拟和优化建模方法在解决与油藏系统有关的关键问题中的应用。在设计高效的大坝和水库调度系统时，水库模拟是需要考虑的最重要的步骤之一。具有功能良好和可靠的优化模型的油藏需要非常精确的模拟。然而，自然物理过程的非线性导致了确定水库参数(高程、表面积、蓄水量)模拟的主要问题。优化技术与模拟建模相结合具有较高的效率，两种方法的结合在油藏管理中取得了最佳的效果。本综述研究的主要内容是对模拟、优化和模拟-优化组合建模方法进行批判性的评估和分析，并对它们在以往研究中的应用进行综述。文中还提供了可能有助于提高本综述今后质量的推论和建议。这些也将使未来的研究人员、系统分析人员和管理人员能够实现更精确的最优运行系统。
Reservoir operation is one of the challenging problems for water resources planners and managers. In developing countries the end users are represented by the water sectors in most parts and conflict over water is resolved at the agency level. This paper discusses an overview of simulation and optimization modeling methods utilized in resolving critical issues with regard to reservoir systems. In designing a highly efficient as well as effective dam and reservoir operational system, reservoir simulation constitutes one of the most important steps to be considered. Reservoirs with well-functional and reliable optimization models require very accurate simulations. However, the nonlinearity of natural physical processes causes a major problem in determining the simulation of the reservoir’s parameters (elevation, surface-area, storage). Optimization techniques have shown high efficiency when used with simulation modeling and the combination of the two methods had given the best results in the reservoir management. The principal concern of this review study is to critically evaluate and analyze simulation, optimization and combined simulation–optimization modeling approach and present an overview of their utility in previous studies. Inferences and suggestions which may assist in improving quality of this overview in the future are provided. These will also enable future researchers, system analysts and managers to achieve more precise optimal operational system.