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...

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Main Authors: Tapia, John Frederick D., Lee, Jui Yuan, Ooi, Raymond E.H., Foo, Dominic C.Y., Tan, Raymond Girard R.
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Published: Animo Repository 2014
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2754
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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