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: | , , , , |
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| Format: | text |
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Animo Repository
2014
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2754 |
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| Institution: | De La Salle University |
| Summary: | 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. |
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