Well production optimization is a complex and time-consuming task in the oilfield development.The combination of reservoir numerical simulator with optimization algorithms is usually used to optimize well production.T...Well production optimization is a complex and time-consuming task in the oilfield development.The combination of reservoir numerical simulator with optimization algorithms is usually used to optimize well production.This method spends most of computing time in objective function evaluation by reservoir numerical simulator which limits its optimization efficiency.To improve optimization efficiency,a well production optimization method using streamline features-based objective function and Bayesian adaptive direct search optimization(BADS)algorithm is established.This new objective function,which represents the water flooding potential,is extracted from streamline features.It only needs to call the streamline simulator to run one time step,instead of calling the simulator to calculate the target value at the end of development,which greatly reduces the running time of the simulator.Then the well production optimization model is established and solved by the BADS algorithm.The feasibility of the new objective function and the efficiency of this optimization method are verified by three examples.Results demonstrate that the new objective function is positively correlated with the cumulative oil production.And the BADS algorithm is superior to other common algorithms in convergence speed,solution stability and optimization accuracy.Besides,this method can significantly accelerate the speed of well production optimization process compared with the objective function calculated by other conventional methods.It can provide a more effective basis for determining the optimal well production for actual oilfield development.展开更多
Coverage control for each sensor is based on a 2D directional sensing model in directional sensor networks conventionally. But the 2D model cannot accurately characterize the real environment. In order to solve this p...Coverage control for each sensor is based on a 2D directional sensing model in directional sensor networks conventionally. But the 2D model cannot accurately characterize the real environment. In order to solve this problem,a new 3D directional sensor model and coverage enhancement algorithm is proposed. We can adjust the pitch angle and deviation angle to enhance the coverage rate. And the coverage enhancement algorithm is based on an improved gravitational search algorithm. In this paper the two improved strategies of GSA are directional mutation strategy and individual evolution strategy. A set of simulations show that our coverage enhancement algorithm has a good performance to improve the coverage rate of the wireless directional sensor network on different number of nodes,different virtual angles and different sensing radius.展开更多
This article describes a biologically inspired node generator for the path planning of serially connected hyper-redundant manipulators using probabilistic roadmap planners. The generator searches the configuration spa...This article describes a biologically inspired node generator for the path planning of serially connected hyper-redundant manipulators using probabilistic roadmap planners. The generator searches the configuration space surrounding existing nodes in the roadmap and uses a combination of random and deterministic search methods that emulate the behaviour of octopus limbs. The strategy consists of randomly mutating the states of the links near the end-effector, and mutating the states of the links near the base of the robot toward the states of the goal configuration. When combined with the small tree probabilistic roadmap planner, the method was successfully used to solve the narrow passage motion planning problem of a 17 degree-of-freedom manipulator.展开更多
针对跳点搜索(jump point search,JPS)算法路径存在斜向穿越障碍物、搜索过程中存在较多冗余跳点、路径拐点多且靠近障碍物的问题,提出一种安全快速的跳点搜索(safe fast jump point search,SFJPS)算法。该算法重新定义跳点判断规则,使...针对跳点搜索(jump point search,JPS)算法路径存在斜向穿越障碍物、搜索过程中存在较多冗余跳点、路径拐点多且靠近障碍物的问题,提出一种安全快速的跳点搜索(safe fast jump point search,SFJPS)算法。该算法重新定义跳点判断规则,使生成的跳点均为安全跳点,解决了路径中斜向穿越障碍物的情况;加入基于角度的搜索方向优先级判断,有效减少了搜索过程中的冗余节点,加快了搜索速度;基于Bresenham算法对路径上的跳点进行关键跳点筛选,关键跳点生成的路径拐点明显减少,贴近障碍物的路径长度大幅减小,整体路径长度也有所减小。结果表明在不同场景下本文算法相较于A*算法和JPS算法,路径长度分别最大减小了5.42%和4.48%,搜索时间分别最大缩短了98.33%和67.83%,搜索节点数最大减少了99.08%和56.72%,路径拐点数分别最大减少了90.91%和83.33%。相较于Theta*算法路径长度增加了1.17%,搜索时间缩短了91.07%,搜索节点数减少了98.9%。仿真试验证明本文算法规划速度快,路径安全且拐点更少,更加适用于移动机器人路径规划问题。展开更多
柔性交流输电装置(flexible AC transmission system,FACTS)在提升电网安全稳定和运行效率方面发挥了重要的作用,研究多FACTS控制器间的交互影响及协调控制方法具有重要的现实意义。研究多静态同步补偿器(staticsynchronous compensator...柔性交流输电装置(flexible AC transmission system,FACTS)在提升电网安全稳定和运行效率方面发挥了重要的作用,研究多FACTS控制器间的交互影响及协调控制方法具有重要的现实意义。研究多静态同步补偿器(staticsynchronous compensator,STATCOM)在提升系统阻尼方面的协调控制问题,并针对多个STATCOM阻尼控制器之间存在的负交互影响,提出一种基于模式自适应直接搜索(mesh adaptive direct search,MADS)算法的多STATCOM阻尼控制器协调控制方法,该方法使用频域设计思想保证了控制器多运行方式下的鲁棒性,同时使用MADS算法保证多控制器的协调运行能力,最终实现多台STATCOM阻尼控制器的协调运行与控制。仿真结果验证了该方法的正确性以及在实际电网中应用的可行性。展开更多
基金supported partly by the National Science and Technology Major Project of China(Grant No.2016ZX05025-001006)Major Science and Technology Project of CNPC(Grant No.ZD2019-183-007)
文摘Well production optimization is a complex and time-consuming task in the oilfield development.The combination of reservoir numerical simulator with optimization algorithms is usually used to optimize well production.This method spends most of computing time in objective function evaluation by reservoir numerical simulator which limits its optimization efficiency.To improve optimization efficiency,a well production optimization method using streamline features-based objective function and Bayesian adaptive direct search optimization(BADS)algorithm is established.This new objective function,which represents the water flooding potential,is extracted from streamline features.It only needs to call the streamline simulator to run one time step,instead of calling the simulator to calculate the target value at the end of development,which greatly reduces the running time of the simulator.Then the well production optimization model is established and solved by the BADS algorithm.The feasibility of the new objective function and the efficiency of this optimization method are verified by three examples.Results demonstrate that the new objective function is positively correlated with the cumulative oil production.And the BADS algorithm is superior to other common algorithms in convergence speed,solution stability and optimization accuracy.Besides,this method can significantly accelerate the speed of well production optimization process compared with the objective function calculated by other conventional methods.It can provide a more effective basis for determining the optimal well production for actual oilfield development.
基金Sponsored by the National Natural Science Foundation of China(Grant No.61175126)National Research Foundation for the Doctoral Program of Higher Education of China(Grant No.20112304110009)the Fundamental Research Funds for the Central Universities of China(Grant No.HEUCFZ1209)
文摘Coverage control for each sensor is based on a 2D directional sensing model in directional sensor networks conventionally. But the 2D model cannot accurately characterize the real environment. In order to solve this problem,a new 3D directional sensor model and coverage enhancement algorithm is proposed. We can adjust the pitch angle and deviation angle to enhance the coverage rate. And the coverage enhancement algorithm is based on an improved gravitational search algorithm. In this paper the two improved strategies of GSA are directional mutation strategy and individual evolution strategy. A set of simulations show that our coverage enhancement algorithm has a good performance to improve the coverage rate of the wireless directional sensor network on different number of nodes,different virtual angles and different sensing radius.
文摘This article describes a biologically inspired node generator for the path planning of serially connected hyper-redundant manipulators using probabilistic roadmap planners. The generator searches the configuration space surrounding existing nodes in the roadmap and uses a combination of random and deterministic search methods that emulate the behaviour of octopus limbs. The strategy consists of randomly mutating the states of the links near the end-effector, and mutating the states of the links near the base of the robot toward the states of the goal configuration. When combined with the small tree probabilistic roadmap planner, the method was successfully used to solve the narrow passage motion planning problem of a 17 degree-of-freedom manipulator.
文摘针对跳点搜索(jump point search,JPS)算法路径存在斜向穿越障碍物、搜索过程中存在较多冗余跳点、路径拐点多且靠近障碍物的问题,提出一种安全快速的跳点搜索(safe fast jump point search,SFJPS)算法。该算法重新定义跳点判断规则,使生成的跳点均为安全跳点,解决了路径中斜向穿越障碍物的情况;加入基于角度的搜索方向优先级判断,有效减少了搜索过程中的冗余节点,加快了搜索速度;基于Bresenham算法对路径上的跳点进行关键跳点筛选,关键跳点生成的路径拐点明显减少,贴近障碍物的路径长度大幅减小,整体路径长度也有所减小。结果表明在不同场景下本文算法相较于A*算法和JPS算法,路径长度分别最大减小了5.42%和4.48%,搜索时间分别最大缩短了98.33%和67.83%,搜索节点数最大减少了99.08%和56.72%,路径拐点数分别最大减少了90.91%和83.33%。相较于Theta*算法路径长度增加了1.17%,搜索时间缩短了91.07%,搜索节点数减少了98.9%。仿真试验证明本文算法规划速度快,路径安全且拐点更少,更加适用于移动机器人路径规划问题。
文摘柔性交流输电装置(flexible AC transmission system,FACTS)在提升电网安全稳定和运行效率方面发挥了重要的作用,研究多FACTS控制器间的交互影响及协调控制方法具有重要的现实意义。研究多静态同步补偿器(staticsynchronous compensator,STATCOM)在提升系统阻尼方面的协调控制问题,并针对多个STATCOM阻尼控制器之间存在的负交互影响,提出一种基于模式自适应直接搜索(mesh adaptive direct search,MADS)算法的多STATCOM阻尼控制器协调控制方法,该方法使用频域设计思想保证了控制器多运行方式下的鲁棒性,同时使用MADS算法保证多控制器的协调运行能力,最终实现多台STATCOM阻尼控制器的协调运行与控制。仿真结果验证了该方法的正确性以及在实际电网中应用的可行性。
