Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
СИНТЕЗ ЗАКОНОВ УПРАВЛЕНИЯ ДАВЛЕНИЯМИ НА СКВАЖИНАХ ДЛЯ ОПТИМИЗАЦИИ ДОБЫЧИ ГАЗОВОГО КОНДЕНСАТА. / Сотникова, Маргарита Викторовна; Коровкин, Максим Васильевич; Севостьянов, Руслан Андреевич; Лепихин, Тимур Андреевич; Жабко, Наталия Алексеевна; Бабин, Владимир; Гимазов, Азат.
в: Вестник Санкт-Петербургского университета. Прикладная математика. Информатика. Процессы управления, Том 20, № 1, 2024, стр. 79-90.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - СИНТЕЗ ЗАКОНОВ УПРАВЛЕНИЯ ДАВЛЕНИЯМИ НА СКВАЖИНАХ ДЛЯ ОПТИМИЗАЦИИ ДОБЫЧИ ГАЗОВОГО КОНДЕНСАТА
AU - Сотникова, Маргарита Викторовна
AU - Коровкин, Максим Васильевич
AU - Севостьянов, Руслан Андреевич
AU - Лепихин, Тимур Андреевич
AU - Жабко, Наталия Алексеевна
AU - Бабин, Владимир
AU - Гимазов, Азат
PY - 2024
Y1 - 2024
N2 - The paper is devoted to the problem of optimizing gas condensate mining in the process of developing a given number of wells in a field. The essence of the problem is such a distribution of control actions, which are wells pressures, at which, for a given fixed rate of gas mixture mining, maximum gas condensate extraction is ensured at a certain planning horizon. A formalized formulation of the problem is carried out and it is shown that it reduces to a nonlinear programming problem with essentially nonlinear objective function and constraints. Two different approaches to finding the optimal solution are proposed. The first of them is based on solving the original optimization problem, and the second one — on simplifying it in order to reduce the computational costs of finding a solution. A numerical example of gas condensate mining for five wells is presented and a comparison of the obtained modeling results for these two algorithms is performed.
AB - The paper is devoted to the problem of optimizing gas condensate mining in the process of developing a given number of wells in a field. The essence of the problem is such a distribution of control actions, which are wells pressures, at which, for a given fixed rate of gas mixture mining, maximum gas condensate extraction is ensured at a certain planning horizon. A formalized formulation of the problem is carried out and it is shown that it reduces to a nonlinear programming problem with essentially nonlinear objective function and constraints. Two different approaches to finding the optimal solution are proposed. The first of them is based on solving the original optimization problem, and the second one — on simplifying it in order to reduce the computational costs of finding a solution. A numerical example of gas condensate mining for five wells is presented and a comparison of the obtained modeling results for these two algorithms is performed.
KW - digital control
KW - gas condensate mining
KW - nonlinear programming
KW - optimization
UR - https://www.mendeley.com/catalogue/5bc68c25-1e61-3d17-914b-7ab36e6463f5/
U2 - 10.21638/11701/spbu10.2024.107
DO - 10.21638/11701/spbu10.2024.107
M3 - статья
VL - 20
SP - 79
EP - 90
JO - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ
JF - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ
SN - 1811-9905
IS - 1
ER -
ID: 127527788