| Modeling and optimization for oil well production scheduling☆ |
| |
| 引用本文： | Jin Lang,Jiao Zhao. Modeling and optimization for oil well production scheduling☆[J]. 中国化学工程学报, 2016, 24(10): 1423-1430. DOI: 10.1016/j.cjche.2016.04.050 |
| |
| 作者姓名： | Jin Lang Jiao Zhao |
| |
| 作者单位： | 1.The Institute of Industrial Engineering and Logistics Optimization, Northeastern University, Shenyang, 110819, China;2.State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China;3.School of Automobile, Chang'an University, Xi'an 710064, China |
| |
| 基金项目： | Supported by National High Technology Research and Development Programof China (2013AA040704) and the Fund for the National Natural Science Foundation of China (61374203). |
| |
| 摘 要： | In this paper, an oil wel production scheduling problem for the light load oil wel during petroleum field exploi-tation was studied. The oil well production scheduling was to determine the turn on/off status and oil flow rates of the wel s in a given oil reservoir, subject to a number of constraints such as minimum up/down time limits and well grouping. The problem was formulated as a mixed integer nonlinear programming model that minimized the total production operating cost and start-up cost. Due to the NP-hardness of the problem, an improved par-ticle swarm optimization (PSO) algorithm with a new velocity updating formula was developed to solve the problem approximately. Computational experiments on randomly generated instances were carried out to eval-uate the performance of the model and the algorithm's effectiveness. Compared with the commercial solver CPLEX, the improved PSO can obtain high-quality schedules within a much shorter running time for all the instances.
|
| 关 键 词： | Oil well production Scheduling Mixed integer nonlinear programming (MINLP) Improved particle swarm optimization |
| 收稿时间： | 2015-06-16 |
Modeling and optimization for oil well production scheduling |
| |
| Jin Lang,Jiao Zhao. Modeling and optimization for oil well production scheduling[J]. Chinese Journal of Chemical Engineering, 2016, 24(10): 1423-1430. DOI: 10.1016/j.cjche.2016.04.050 |
| |
| Authors: | Jin Lang Jiao Zhao |
| |
| Affiliation: | 1.The Institute of Industrial Engineering and Logistics Optimization, Northeastern University, Shenyang, 110819, China;2.State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China;3.School of Automobile, Chang'an University, Xi'an 710064, China |
| |
| Abstract: | In this paper, an oil wel production scheduling problem for the light load oil wel during petroleum field exploi-tation was studied. The oil well production scheduling was to determine the turn on/off status and oil flow rates of the wel s in a given oil reservoir, subject to a number of constraints such as minimum up/down time limits and well grouping. The problem was formulated as a mixed integer nonlinear programming model that minimized the total production operating cost and start-up cost. Due to the NP-hardness of the problem, an improved par-ticle swarm optimization (PSO) algorithm with a new velocity updating formula was developed to solve the problem approximately. Computational experiments on randomly generated instances were carried out to eval-uate the performance of the model and the algorithm's effectiveness. Compared with the commercial solver CPLEX, the improved PSO can obtain high-quality schedules within a much shorter running time for all the instances. |
| |
| Keywords: | Oil wel production Scheduling Mixed integer nonlinear programming (MINLP) Improved particle swarm optimization |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《中国化学工程学报》浏览原始摘要信息 |
|
点击此处可从《中国化学工程学报》下载全文 |
|
