Comparison of design optimization algorithms of a multiply fractured horizontal well

E. A. Kavunnikova, B. N. Starovoitova, S. V. Golovin, A. M. Krivtsov

Результат исследования: Научные публикации в периодических изданияхстатья по материалам конференции

1 Цитирования (Scopus)

Аннотация

The paper is devoted to comparison of multiple-objectives optimization algorithms in application to the problem of design optimization of a multiply fractured horizontal well (MFHW). The problem is stated either as a single-objective one, where only the income based on Net Present Value (NPV) is maximized, or as a multi-objective problem, where it is necessary to simultaneously find extremes of NPV, the post-fracture oil production and fracturing costs. Three popular stochastic optimization methods are considered: genetic algorithms (GA), simulated annealing (SA) and particle swarm optimization (PSO). Since PSO, SA and GA techniques employ different strategies and computational efforts, the comparison of their efficiency was carried out by testing on synthetic problems and then applied to the example of a MFHW in a low-permeable oil reservoir.

Язык оригиналаанглийский
Номер статьи012029
Число страниц8
ЖурналJournal of Physics: Conference Series
Том1268
Номер выпуска1
DOI
СостояниеОпубликовано - 16 июл 2019
СобытиеAll-Russian Conference and School for Young Scientists, devoted to 100th Anniversary of Academician L.V. Ovsiannikov on Mathematical Problems of Continuum Mechanics, MPCM 2019 - Novosibirsk, Российская Федерация
Продолжительность: 13 мая 201917 мая 2019

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