Standard

Design optimization of hydraulic fracturing. / Starovoitova, B. N.; Golovin, S. V.; Paderin, G. V. et al.

In: IOP Conference Series: Earth and Environmental Science, Vol. 193, No. 1, 012011, 30.10.2018.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Starovoitova, BN, Golovin, SV, Paderin, GV, Shel, EV, Kavunnikova, EA & Krivtsov, AM 2018, 'Design optimization of hydraulic fracturing', IOP Conference Series: Earth and Environmental Science, vol. 193, no. 1, 012011. https://doi.org/10.1088/1755-1315/193/1/012011

APA

Starovoitova, B. N., Golovin, S. V., Paderin, G. V., Shel, E. V., Kavunnikova, E. A., & Krivtsov, A. M. (2018). Design optimization of hydraulic fracturing. IOP Conference Series: Earth and Environmental Science, 193(1), [012011]. https://doi.org/10.1088/1755-1315/193/1/012011

Vancouver

Starovoitova BN, Golovin SV, Paderin GV, Shel EV, Kavunnikova EA, Krivtsov AM. Design optimization of hydraulic fracturing. IOP Conference Series: Earth and Environmental Science. 2018 Oct 30;193(1):012011. doi: 10.1088/1755-1315/193/1/012011

Author

Starovoitova, B. N. ; Golovin, S. V. ; Paderin, G. V. et al. / Design optimization of hydraulic fracturing. In: IOP Conference Series: Earth and Environmental Science. 2018 ; Vol. 193, No. 1.

BibTeX

@article{c5065c040e924927beb5da1d5ce57ba1,
title = "Design optimization of hydraulic fracturing",
abstract = "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.",
author = "Starovoitova, {B. N.} and Golovin, {S. V.} and Paderin, {G. V.} and Shel, {E. V.} and Kavunnikova, {E. A.} and Krivtsov, {A. M.}",
year = "2018",
month = oct,
day = "30",
doi = "10.1088/1755-1315/193/1/012011",
language = "English",
volume = "193",
journal = "IOP Conference Series: Earth and Environmental Science",
issn = "1755-1307",
publisher = "IOP Publishing Ltd.",
number = "1",
note = "5th All-Russian Conference with International Participation on Polar Mechanics 2018 ; Conference date: 09-10-2018 Through 11-10-2018",

}

RIS

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