Comparison of design optimization algorithms of a multiply fractured horizontal well

Comparison of design optimization algorithms of a multiply fractured horizontal well Full article

Conference

ALL-RUSSIAN CONFERENCE AND SCHOOL FOR YOUNG SCIENTISTS, DEVOTED TO 100TH ANNIVERSARY OF ACADEMICIAN L.V. OVSIANNIKOV "MATHEMATICAL PROBLEMS OF CONTINUUM MECHANICS"
13-17 May 2019 , Новосибирск

Journal

Journal of Physics: Conference Series
ISSN: 1742-6588

Output data

Year: 2019, Volume: 1268, Article number : 012029, Pages count : 7 DOI: 10.1088/1742-6596/1268/1/012029

Authors

Kavunnikova E A ^1,2 , Starovoitova B N ¹ , Golovin S V ^1,2 , Krivtsov A M ³

Affiliations

1	Lavrentyev Institute of Hydrodynamics
2	Novosibirsk State University
3	Peter the Great St.Petersburg Polytechnic University,

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.

Kavunnikova E.A. , Starovoitova B.N. , Golovin S.V. , Krivtsov A.M.
Comparison of design optimization algorithms of a multiply fractured horizontal well
Journal of Physics: Conference Series. 2019. V.1268. 012029 :1-7. DOI: 10.1088/1742-6596/1268/1/012029 Scopus РИНЦ OpenAlex

Scopus:	2-s2.0-85073910182
Elibrary:	41809742
OpenAlex:	W2962007917

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