CO2 allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-time optimization
Carbon capture and storage (CCS) can be carried out in conjunction with enhanced oil recovery (EOR) to yield complementary environmental and economic gains. Thus, CCS in combination with EOR will provide economical value from incremental oil recovery besides providing source for CO2 sequestration. G...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | text |
Published: |
Animo Repository
2014
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2754 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
id |
oai:animorepository.dlsu.edu.ph:faculty_research-3753 |
---|---|
record_format |
eprints |
spelling |
oai:animorepository.dlsu.edu.ph:faculty_research-37532021-10-29T09:00:14Z CO2 allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-time optimization Tapia, John Frederick D. Lee, Jui Yuan Ooi, Raymond E.H. Foo, Dominic C.Y. Tan, Raymond Girard R. Carbon capture and storage (CCS) can be carried out in conjunction with enhanced oil recovery (EOR) to yield complementary environmental and economic gains. Thus, CCS in combination with EOR will provide economical value from incremental oil recovery besides providing source for CO2 sequestration. Given a fixed CO2 supply to be distributed to different reservoirs, it is necessary to develop an allocation model to maximize profit from EOR operations. In this study, a discrete-Time optimization model is developed subject to scheduling, capacity and flow rate constraints. A case study is presented to illustrate the model. © 2014 The Authors. Published by Elsevier Ltd. 2014-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2754 Faculty Research Work Animo Repository Carbon sequestration Enhanced oil recovery Chemical Engineering |
institution |
De La Salle University |
building |
De La Salle University Library |
continent |
Asia |
country |
Philippines Philippines |
content_provider |
De La Salle University Library |
collection |
DLSU Institutional Repository |
topic |
Carbon sequestration Enhanced oil recovery Chemical Engineering |
spellingShingle |
Carbon sequestration Enhanced oil recovery Chemical Engineering Tapia, John Frederick D. Lee, Jui Yuan Ooi, Raymond E.H. Foo, Dominic C.Y. Tan, Raymond Girard R. CO2 allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-time optimization |
description |
Carbon capture and storage (CCS) can be carried out in conjunction with enhanced oil recovery (EOR) to yield complementary environmental and economic gains. Thus, CCS in combination with EOR will provide economical value from incremental oil recovery besides providing source for CO2 sequestration. Given a fixed CO2 supply to be distributed to different reservoirs, it is necessary to develop an allocation model to maximize profit from EOR operations. In this study, a discrete-Time optimization model is developed subject to scheduling, capacity and flow rate constraints. A case study is presented to illustrate the model. © 2014 The Authors. Published by Elsevier Ltd. |
format |
text |
author |
Tapia, John Frederick D. Lee, Jui Yuan Ooi, Raymond E.H. Foo, Dominic C.Y. Tan, Raymond Girard R. |
author_facet |
Tapia, John Frederick D. Lee, Jui Yuan Ooi, Raymond E.H. Foo, Dominic C.Y. Tan, Raymond Girard R. |
author_sort |
Tapia, John Frederick D. |
title |
CO2 allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-time optimization |
title_short |
CO2 allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-time optimization |
title_full |
CO2 allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-time optimization |
title_fullStr |
CO2 allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-time optimization |
title_full_unstemmed |
CO2 allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-time optimization |
title_sort |
co2 allocation for scheduling enhanced oil recovery (eor) operations with geological sequestration using discrete-time optimization |
publisher |
Animo Repository |
publishDate |
2014 |
url |
https://animorepository.dlsu.edu.ph/faculty_research/2754 |
_version_ |
1715215757845987328 |