CO2 allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-T ime optimization

John Frederick D. Tapia; Jui Yuan Lee; Raymond E.H. Ooi; Dominic C.Y. Foo; Raymond R. Tan

doi:10.1016/j.egypro.2014.11.1189

CO₂ allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-T ime optimization

John Frederick D. Tapia, Jui Yuan Lee, Raymond E.H. Ooi, Dominic C.Y. Foo, Raymond R. Tan

Department of Chemical Engineering

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

10 Citations (Scopus)

Abstract

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-T ime optimization model is developed subject to scheduling, capacity and flow rate constraints. A case study is presented to illustrate the model.

Original language	English
Pages (from-to)	595-598
Number of pages	4
Journal	Energy Procedia
Volume	61
DOIs	https://doi.org/10.1016/j.egypro.2014.11.1189
Publication status	Published - 2014
Event	6th International Conference on Applied Energy, ICAE 2014 - Taipei, Taiwan Duration: 2014 May 30 → 2014 Jun 2

All Science Journal Classification (ASJC) codes

General Energy

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10.1016/j.egypro.2014.11.1189

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title = "CO2 allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-T ime optimization",

abstract = "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-T ime optimization model is developed subject to scheduling, capacity and flow rate constraints. A case study is presented to illustrate the model.",

author = "Tapia, {John Frederick D.} and Lee, {Jui Yuan} and Ooi, {Raymond E.H.} and Foo, {Dominic C.Y.} and Tan, {Raymond R.}",

note = "Publisher Copyright: {\textcopyright} 2014 The Authors. Published by Elsevier Ltd.; 6th International Conference on Applied Energy, ICAE 2014 ; Conference date: 30-05-2014 Through 02-06-2014",

year = "2014",

doi = "10.1016/j.egypro.2014.11.1189",

language = "English",

volume = "61",

pages = "595--598",

journal = "Energy Procedia",

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T1 - CO2 allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-T ime optimization

AU - Tapia, John Frederick D.

AU - Lee, Jui Yuan

AU - Ooi, Raymond E.H.

AU - Foo, Dominic C.Y.

AU - Tan, Raymond R.

PY - 2014

Y1 - 2014

N2 - 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-T ime optimization model is developed subject to scheduling, capacity and flow rate constraints. A case study is presented to illustrate the model.

AB - 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-T ime optimization model is developed subject to scheduling, capacity and flow rate constraints. A case study is presented to illustrate the model.

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DO - 10.1016/j.egypro.2014.11.1189

M3 - Conference article

AN - SCOPUS:84922347550

SN - 1876-6102

VL - 61

SP - 595

EP - 598

JO - Energy Procedia

JF - Energy Procedia

T2 - 6th International Conference on Applied Energy, ICAE 2014

Y2 - 30 May 2014 through 2 June 2014

ER -

CO₂ allocation for scheduling enhanced oil recovery (EOR) operations with geological sequestration using discrete-T ime optimization

Abstract

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