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DOI | 10.1016/j.geoen.2023.212589 |
An integrated model to investigate optimized CO2 utilization and risk mitigation in offshore hydrocarbon reservoirs | |
发表日期 | 2024 |
ISSN | 2949-8929 |
EISSN | 2949-8910 |
起始页码 | 234 |
卷号 | 234 |
英文摘要 | This study addresses the dual challenge of balancing increasing energy demands with climate change mitigation through optimized carbon dioxide (CO2) utilization (CO2U) for enhanced oil recovery (EOR). This work presents a composite dynamic risk model for CO2-EOR operations, synergizing deterministic and data-driven methodologies for post-CO2 injection initiation. The primary focus is to gain a further understanding of the impact of CO2 injection on reservoir functionality, stability, and potential leaks in offshore deployment. The integrated novel model involves a spatial and temporal deterministic model with a data-driven strategy, incorporating an artificial neural network (ANN) fine-tuned via particle swarm optimization (PSO) for co-optimization of oil production and CO2 storage. Furthermore, an innovative early warning index system (EWIS) is proposed by integrating a dynamic Bayesian network (DBN) model for probabilistic loss evaluation and pressure maintenance impact assessment. The proposed DBN strategy generates dynamic risk profiles, facilitating a cost-efficient and computationally simpler risk monitoring system. The findings from the study show a recovery of 17.14 thousand barrels (Mbbls) from the total original oil-in-place (OOIP) through this CO2-EOR approach in its debut year, coupled with over 74% CO2 retention. The proposed model offers a robust tool for concurrent optimization of oil production and CO2 storage, whilst ensuring meticulous dynamic risk analysis throughout CO2U processes. |
英文关键词 | CO 2 utilization; Co -optimization; Decarbonization; Dynamic Bayesian network; Deterministic approaches |
语种 | 英语 |
WOS研究方向 | Energy & Fuels ; Engineering |
WOS类目 | Energy & Fuels ; Engineering, Petroleum |
WOS记录号 | WOS:001156590300001 |
来源期刊 | GEOENERGY SCIENCE AND ENGINEERING
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/297466 |
作者单位 | Memorial University Newfoundland; Memorial University Newfoundland; Texas A&M University System; Texas A&M University College Station |
推荐引用方式 GB/T 7714 | . An integrated model to investigate optimized CO2 utilization and risk mitigation in offshore hydrocarbon reservoirs[J],2024,234. |
APA | (2024).An integrated model to investigate optimized CO2 utilization and risk mitigation in offshore hydrocarbon reservoirs.GEOENERGY SCIENCE AND ENGINEERING,234. |
MLA | "An integrated model to investigate optimized CO2 utilization and risk mitigation in offshore hydrocarbon reservoirs".GEOENERGY SCIENCE AND ENGINEERING 234(2024). |
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