نتایج جستجو برای: well placement optimization

تعداد نتایج: 1854969  

A. Kheyrodin, M. Gerami, M. R. Hashemi, R. Vahdani,

Dampers can reduce structural response under dynamic loads. Since dampers are costly, the design of structures equipped with dampers should make their application economically justifiable. Among the effective cost reduction factors is optimal damper placement. Hence, this study intended to find the optimal viscous damper placement using efficient optimization methods. Taking into account the no...

Journal: :Computational Geosciences 2022

Well placement optimization is commonly performed using population-based global stochastic search algorithms. These optimizations are computationally expensive due to the large number of multiphase flow simulations that must be conducted. In this work, we present an framework in which these with low-fidelity (LF) models. LF models constructed from underlying high-fidelity (HF) geomodel a transm...

2015
Myrna V. Casillas Luis E. Garza-Castañón Vicenç Puig

In this paper, a sensor placement approach to improve the leak location in water distribution networks is proposed. The sensor placement problem is formulated as an integer optimization problem where the criterion to minimize is the number of overlapping signature domains computed from the leak signature space (LSS) representation. A stochastic optimization process is proposed to solve this pro...

Placement process is one of the vital stages in physical design. In this stage, modules and elements of circuit are placed in distinct locations according to optimization basis. So that, each placement process tries to influence on one or more optimization factor. In the other hand, it can be told unequivocally that FPGA is one of the most important and applicable devices in our electronic worl...

Journal: :فناوری اطلاعات و ارتباطات ایران 0
محمد هادی ورهرام mohammad hadi varahram امیر محمدی amir mohammadi

in this paper, we have proposed a new algorithm which combines pso and ga in such a way that the new algorithm is more effective and efficient.the particle swarm optimization (pso) algorithm has shown rapid convergence during the initial stages of a global search but around global optimum, the search process will become very slow. on the other hand, genetic algorithm is very sensitive to the in...

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