Standard

Methods for optimal control of hydraulic fracturing process. / Shokin, Yurii; Cherny, Sergey; Lapin, Vasily et al.

In: CEUR Workshop Proceedings, Vol. 1839, 2017, p. 423-444.

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

Harvard

Shokin, Y, Cherny, S, Lapin, V, Esipov, D, Kuranakov, D & Astrakova, A 2017, 'Methods for optimal control of hydraulic fracturing process', CEUR Workshop Proceedings, vol. 1839, pp. 423-444.

APA

Shokin, Y., Cherny, S., Lapin, V., Esipov, D., Kuranakov, D., & Astrakova, A. (2017). Methods for optimal control of hydraulic fracturing process. CEUR Workshop Proceedings, 1839, 423-444.

Vancouver

Shokin Y, Cherny S, Lapin V, Esipov D, Kuranakov D, Astrakova A. Methods for optimal control of hydraulic fracturing process. CEUR Workshop Proceedings. 2017;1839:423-444.

Author

Shokin, Yurii ; Cherny, Sergey ; Lapin, Vasily et al. / Methods for optimal control of hydraulic fracturing process. In: CEUR Workshop Proceedings. 2017 ; Vol. 1839. pp. 423-444.

BibTeX

@article{0a09134c758a4f899c4b4361e02bf11e,
title = "Methods for optimal control of hydraulic fracturing process",
abstract = "The problem of optimal control of the hydraulic fracturing process is set as the optimization problem of finding the input parameters vector for the fracture propagation model that provides the minimization of objective functions. Various objective functions based on the output data of the fracture propagation model are considered. The problem is formulated within the framework of multivariate and multiobjective optimization method, which is based on the combined features of fracture propagation model and Genetic Algorithm. Plane radial model of fracture propagation caused by Herschel-Bulkley fluid injection is used to establish relationships between input parameters and fracture growth. The potential of the proposed method for control of hydraulic fracturing process is demonstrated by application to hydrocarbon reservoirs of shallow bedding. Results show that the proposed methods for optimal control of hydraulic fracturing process play the important role in maximization of the volume of mined hydrocarbon with significant decrease of the costs for hydraulic fracturing execution.",
author = "Yurii Shokin and Sergey Cherny and Vasily Lapin and Denis Esipov and Dmitriy Kuranakov and Anna Astrakova",
year = "2017",
language = "English",
volume = "1839",
pages = "423--444",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "CEUR-WS",
note = "2016 International Conference Mathematical and Information Technologies, MIT 2016 ; Conference date: 28-08-2016 Through 05-09-2016",

}

RIS

TY - JOUR

T1 - Methods for optimal control of hydraulic fracturing process

AU - Shokin, Yurii

AU - Cherny, Sergey

AU - Lapin, Vasily

AU - Esipov, Denis

AU - Kuranakov, Dmitriy

AU - Astrakova, Anna

PY - 2017

Y1 - 2017

N2 - The problem of optimal control of the hydraulic fracturing process is set as the optimization problem of finding the input parameters vector for the fracture propagation model that provides the minimization of objective functions. Various objective functions based on the output data of the fracture propagation model are considered. The problem is formulated within the framework of multivariate and multiobjective optimization method, which is based on the combined features of fracture propagation model and Genetic Algorithm. Plane radial model of fracture propagation caused by Herschel-Bulkley fluid injection is used to establish relationships between input parameters and fracture growth. The potential of the proposed method for control of hydraulic fracturing process is demonstrated by application to hydrocarbon reservoirs of shallow bedding. Results show that the proposed methods for optimal control of hydraulic fracturing process play the important role in maximization of the volume of mined hydrocarbon with significant decrease of the costs for hydraulic fracturing execution.

AB - The problem of optimal control of the hydraulic fracturing process is set as the optimization problem of finding the input parameters vector for the fracture propagation model that provides the minimization of objective functions. Various objective functions based on the output data of the fracture propagation model are considered. The problem is formulated within the framework of multivariate and multiobjective optimization method, which is based on the combined features of fracture propagation model and Genetic Algorithm. Plane radial model of fracture propagation caused by Herschel-Bulkley fluid injection is used to establish relationships between input parameters and fracture growth. The potential of the proposed method for control of hydraulic fracturing process is demonstrated by application to hydrocarbon reservoirs of shallow bedding. Results show that the proposed methods for optimal control of hydraulic fracturing process play the important role in maximization of the volume of mined hydrocarbon with significant decrease of the costs for hydraulic fracturing execution.

UR - http://www.scopus.com/inward/record.url?scp=85020501081&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85020501081

VL - 1839

SP - 423

EP - 444

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 2016 International Conference Mathematical and Information Technologies, MIT 2016

Y2 - 28 August 2016 through 5 September 2016

ER -

ID: 25314762