Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование
Design optimization of hydraulic fracturing. / Starovoitova, B. N.; Golovin, S. V.; Paderin, G. V. и др.
в: IOP Conference Series: Earth and Environmental Science, Том 193, № 1, 012011, 30.10.2018.Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование
}
TY - JOUR
T1 - Design optimization of hydraulic fracturing
AU - Starovoitova, B. N.
AU - Golovin, S. V.
AU - Paderin, G. V.
AU - Shel, E. V.
AU - Kavunnikova, E. A.
AU - Krivtsov, A. M.
PY - 2018/10/30
Y1 - 2018/10/30
N2 - The approach to the problem of hydraulic fracturing design optimization is proposed which combines three modules: a fracture geometry module, an oil production module and an economic module. The approach is based on the genetic algorithm - the universal multivariate and multiobjective optimization method. The optimization process involves subsequent determination of the fracture geometry, calculation of the oil production depending on the number of fractures, and description of the investment-return cash flows. Iterated by the genetic algorithm for different set of input parameters, this approach allows determination of the optimal design of a multiply fractured well for a given set of geological and economical information. The results show that the proposed method is plausible and can be useful for achieving projected objectives.
AB - The approach to the problem of hydraulic fracturing design optimization is proposed which combines three modules: a fracture geometry module, an oil production module and an economic module. The approach is based on the genetic algorithm - the universal multivariate and multiobjective optimization method. The optimization process involves subsequent determination of the fracture geometry, calculation of the oil production depending on the number of fractures, and description of the investment-return cash flows. Iterated by the genetic algorithm for different set of input parameters, this approach allows determination of the optimal design of a multiply fractured well for a given set of geological and economical information. The results show that the proposed method is plausible and can be useful for achieving projected objectives.
UR - http://www.scopus.com/inward/record.url?scp=85056486231&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/193/1/012011
DO - 10.1088/1755-1315/193/1/012011
M3 - Conference article
AN - SCOPUS:85056486231
VL - 193
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
SN - 1755-1307
IS - 1
M1 - 012011
T2 - 5th All-Russian Conference with International Participation on Polar Mechanics 2018
Y2 - 9 October 2018 through 11 October 2018
ER -
ID: 17471872