Fuzzy logic control presents a computationally efficient and robust alternative to conventional controllers. An expert in a particular system can usually design a fuzzy logic controller for it easily as can be seen in...
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Nelder and Mead Simplex (NMS) algorithm is an effective nonlinear programming technique. Trabia and Lu (1999) recently presented a novel algorithm, Fuzzy Simplex (FS), which improved the efficiency of Nelder and Mead ...
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In this work, optimal operation of an Electric Submersible Pump (ESP) lifted oil field is developed by using a nonlinear Model Predictive Control (NMPC) framework. NMPC is used not only for setpoint tracking but also ...
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In this work, optimal operation of an Electric Submersible Pump (ESP) lifted oil field is developed by using a nonlinear Model Predictive Control (NMPC) framework. NMPC is used not only for setpoint tracking but also as an economic optimizer for maximizing profit. Optimal control problem is formulated as a general nonlinear programming (NLP) problem with process constraints. The scope of the NMPC framework is to operate the ESP of each oil well inside its designated operating window by minimizing the cost of the total power consumed by all the ESPs in the field and the cost of operating the separator. In other words, the speed of the ESPs and the production choke valves opening should be optimally chosen for maximizing the profit. At the same time, the capacity of the separator should not be exceeded. The simulation results show that the production choke valves are always 100% opened to maintain optimal fluid flow rate from the reservoir. With no constraints in the top side facility (separator capacity), it is optimal to run the ESP pumps in the upper right corner of the allowed operating window for the ESPs.
A parallel trajectory optimization algorithm is being developed. One possible mission is to provide real-time, on-line guidance for the National Aerospace Plane. The algorithm solves a discrete-time problem via the au...
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Defender-Attacker Stackelberg games are the foundations of tools deployed for computing optimal patrolling strategies in adversarial domains such as the United states Federal Air Marshals Service and the United States...
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Velocity model plays an important role in the localization of micro-seismic events caused by hydraulic fracturing. The general approach is directly to build layered velocity model according to the acoustic logging dat...
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ISBN:
(纸本)9781510806627
Velocity model plays an important role in the localization of micro-seismic events caused by hydraulic fracturing. The general approach is directly to build layered velocity model according to the acoustic logging data, which will lead to large inadaptability in practical micro-seismic events location. Particle swarm optimization(PSO)is a nonlinear optimization algorithm, which has the characteristic of simple and easy to realize, and fewer parameters need to be adjusted. Model and field perforation data show that using the PSO algorithm to calibrate acoustic logging velocity model according to the first arrival of perforation signal can improve the location precision of micro-seismic events obviously.
In this paper, two different approaches are proposed for simultaneous optimization of staging and trajectory of multistage launch vehicles. In the first approach, the problems of staging optimization and trajectory op...
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Currently, the installation of locks on empty containers and the binding of wind straps in container yards still require manual operations. This not only reduces work efficiency, but also presents certain safety risks...
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When edge clouds are deployed at all road side unit (RSU), autonomous vehicles (AVs) can offload the tasks and receive the results of the tasks with low latency. However, too excessive deployment of edge clouds can le...
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In this article we present a new approach to extract points that belongs to several ellipses or circles presented on a same image and with the presence of outliers. Each geometric form is extracted by means of a robus...
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