Optimisation of an existing water injection network in an oilfield for multi-period development

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F23%3APU150789" target="_blank" >RIV/00216305:26210/23:PU150789 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s11081-023-09804-0" target="_blank" >https://link.springer.com/article/10.1007/s11081-023-09804-0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11081-023-09804-0" target="_blank" >10.1007/s11081-023-09804-0</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimisation of an existing water injection network in an oilfield for multi-period development

Popis výsledku v původním jazyce

Water injection demand for oilfields varies greatly in different development periods. The topology and size of the water injection pipeline network should match the changing demand. Long-term benefits should be considered to avoid the frequent expansion of the network. This paper considers the water demand in multiple periods and develops an MINLP model to optimise the layout and size of the water injection pipeline network for existing pipeline networks. The model aims to minimise construction cost and operating cost. Both pipeline transport and truck transport are considered with pressure constraints, pipeline pressure drop constraints, flow constraints, and supply-demand balance constraints. A piecewise linearisation method is proposed to avoid nonlinear terms in pressure drop and cost constraints. A case from an oilfield in Northwest China is taken as an example to verify the model. The water injection planning of an existing water pipeline network in the future three periods is determined. The results show that 14.6% of the total cost can be saved in the final phase compared to the first phase, which mainly benefited from the reduction of truck transported water volume.

Název v anglickém jazyce

Optimisation of an existing water injection network in an oilfield for multi-period development

Popis výsledku anglicky

Water injection demand for oilfields varies greatly in different development periods. The topology and size of the water injection pipeline network should match the changing demand. Long-term benefits should be considered to avoid the frequent expansion of the network. This paper considers the water demand in multiple periods and develops an MINLP model to optimise the layout and size of the water injection pipeline network for existing pipeline networks. The model aims to minimise construction cost and operating cost. Both pipeline transport and truck transport are considered with pressure constraints, pipeline pressure drop constraints, flow constraints, and supply-demand balance constraints. A piecewise linearisation method is proposed to avoid nonlinear terms in pressure drop and cost constraints. A case from an oilfield in Northwest China is taken as an example to verify the model. The water injection planning of an existing water pipeline network in the future three periods is determined. The results show that 14.6% of the total cost can be saved in the final phase compared to the first phase, which mainly benefited from the reduction of truck transported water volume.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20700 - Environmental engineering

Projekt

<a href="/cs/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Laboratoř integrace procesů pro trvalou udržitelnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

OPTIMIZATION AND ENGINEERING

ISSN

1389-4420

e-ISSN

1573-2924

Svazek periodika

neuveden

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

30

Strana od-do

„“-„“

Kód UT WoS článku

000995110300001

EID výsledku v databázi Scopus

2-s2.0-85160287300