气候变化领域集成服务门户(CCPortal): An integrated model to investigate optimized CO2 utilization and risk mitigation in offshore hydrocarbon reservoirs

CCPortal

DOI	10.1016/j.geoen.2023.212589
	An integrated model to investigate optimized CO2 utilization and risk mitigation in offshore hydrocarbon reservoirs
	Shah, Md Shaheen; Khan, Faisal; Zendehboudi, Sohrab; Mamudu, Abbas
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
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/297467
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	Shah, Md Shaheen,Khan, Faisal,Zendehboudi, Sohrab,et al. An integrated model to investigate optimized CO2 utilization and risk mitigation in offshore hydrocarbon reservoirs[J],2024,234.
APA	Shah, Md Shaheen,Khan, Faisal,Zendehboudi, Sohrab,&Mamudu, Abbas.(2024).An integrated model to investigate optimized CO2 utilization and risk mitigation in offshore hydrocarbon reservoirs.GEOENERGY SCIENCE AND ENGINEERING,234.
MLA	Shah, Md Shaheen,et al."An integrated model to investigate optimized CO2 utilization and risk mitigation in offshore hydrocarbon reservoirs".GEOENERGY SCIENCE AND ENGINEERING 234(2024).