The application of genetic algorithm for optimal control the oil well mode in case of one-phase flow in porous media

Lyalin, V. E.; Sidelnikov, K. A.; Faizullin, Rinat

doi:10.12988/ams.2015.41228

Cited by 3 publications

(2 citation statements)

References 2 publications

(2 reference statements)

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“…In 2016 the commission of 5 KLH was planned on Tournaisian object of XXX deposit [7]. According to the map, the majority of candidates were in the areas with relatively low residual mobile oil by RGTM (regular geological and technological model).…”

Section: Resultsmentioning

confidence: 99%

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Bottom-hole pressure optimization when operating the well lateral horizontal hole

2020

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The problem of optimization of technological parameters as a way to improve the efficiency of oil deposit exploitation is considered in the paper. There are no standards for parameters of well bottom-hole pressure for exploitation of lateral horizontal holes. The paper presents the evaluation of optimum bottom-hole pressure at which it is advisable to exploit the deposit lateral horizontal hole with maximum “water-free” production rate. Following the calculations carried out and analysis of the graphs of additional oil and liquid production dependence on bottom-hole pressure, graphs of production dynamics and water encroachment, it was concluded that 3 groups of drilling (kickoff) of lateral holes (KLH) should be distinguished: with high forecasted starting water encroachment (>90%), average starting water encroachment (about 80%), and low starting water encroachment (about 20-50%). The distinguished 3 groups allow applying the differentiation of parameters, for which optimum bottom-hole pressure parameters for each drilling group were found.

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Section: Resultsmentioning

confidence: 99%

“…Investigation methods: analysis of deposit development history, geological and hydrodynamic modeling, methods of oil-and-gas hydromechanics, methods of decisionmaking theory, factor analysis [7,8,9].…”

Section: Methodsmentioning

confidence: 99%

Bottom-hole pressure optimization when operating the well lateral horizontal hole

2020

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Development of an effective adaptive forecasting system based on the combination of neural network and genetic algorithm

Ketova

Kasatkina

Vavilova

2021

J. Phys.: Conf. Ser.

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The paper is presented an effective adaptive forecasting system based on combining mathematical modeling tools, including neural networks and genetic algorithm. The construction of the neural network structure that is best relative to the selected criterion makes it possible to improve the procedure for finding a solution to the problem in terms of a number of parameters. Each individual in the genetic algorithm is encoded as a vector with data on the number of neurons on the intermediate layers of the neural network. The evolution of the population occurs in the genetic algorithm, information in the chromosomes changes as a result of the probabilistic application of genetic operators. As a result, such a structure of the neural network is formed, at which the convergence to a given level of error of 1.0% is the fastest. Applied calculations were carried out on the monthly statistical data of investments in human capital (education, healthcare and culture) of the Udmurt Republic. The proposed adaptive system, applied to the construction of forecasts of socio-economic indicators, can be used in the construction of development strategies both at the regional level and at the country level.

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Mathematical modeling and optimization of traffic flows

Kasatkina

Vavilova

2021

J. Phys.: Conf. Ser.

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The article presents a mathematical model for optimizing traffic flows in an urban environment based on a stochastic approach. It allows to optimize traffic flows using a genetic algorithm by changing the phases of traffic lights operation. An exponential law of distribution of the generation of cars at the input points of the transport network has been established. The relationship between the intensity of servicing the traffic flow and the time of the green signal of the traffic light is revealed. Practical calculations have confirmed the applicability of the optimization model in traffic management.

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The application of genetic algorithm for optimal control the oil well mode in case of one-phase flow in porous media

Cited by 3 publications

References 2 publications

Bottom-hole pressure optimization when operating the well lateral horizontal hole

Bottom-hole pressure optimization when operating the well lateral horizontal hole

Development of an effective adaptive forecasting system based on the combination of neural network and genetic algorithm

Mathematical modeling and optimization of traffic flows

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