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DOI | 10.3390/en17081914 |
Integrated Black Oil Modeling for Efficient Simulation and Optimization of Carbon Storage in Saline Aquifers | |
Ismail, Ismail; Fotias, Sofianos Panagiotis; Avgoulas, Dimitris; Gaganis, Vassilis | |
发表日期 | 2024 |
EISSN | 1996-1073 |
起始页码 | 17 |
结束页码 | 8 |
卷号 | 17期号:8 |
英文摘要 | Carbon capture and storage technologies play a crucial role in mitigating climate change by capturing and storing carbon dioxide emissions underground. Saline aquifers, among other geological formations, hold promise for long-term CO2 storage. However, accurately assessing their storage capacity and CO2 behavior underground necessitates advanced numerical simulation and modeling techniques. In this study, we introduce an approach based on a solubility thermodynamic model that leverages cubic equations of state offline from the simulator. This approach enables the precise prediction of CO2-brine equilibrium properties and facilitates the conversion of compositional data into black oil PVT data suitable for black oil simulations. By incorporating industry-scale saline aquifer properties, we simulate a carbon storage scheme using the black oil model technique, significantly reducing computation time by at least four times while preserving the essential physical phenomena observed in underground carbon storage operations. A comparative analysis between black oil and compositional simulations reveals consistent results for reservoir pressure, CO2 saturation distributions, and mass fraction of trapping mechanisms, with differences of less than 4%. This validation underscores the reliability and efficiency of integrating the black oil model technique into carbon storage simulations in saline aquifer formations, offering tangible benefits to industry operators and regulators by striking a balance between accuracy and efficiency. The capability of this approach to extend to temperatures of up to 300 degrees C and pressures of up to 600 bars broadens its applicability beyond conventional CCS applications, serving as a valuable tool for optimizing decision-making processes in CCS projects, particularly in scenarios where profitability may be marginal. |
英文关键词 | carbon capture; utilization and storage (CCUS); carbon capture and storage (CCS); reservoir simulation; fluid model; black oil simulation; compositional simulation |
语种 | 英语 |
WOS研究方向 | Energy & Fuels |
WOS类目 | Energy & Fuels |
WOS记录号 | WOS:001210732900001 |
来源期刊 | ENERGIES |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/302887 |
作者单位 | National Technical University of Athens |
推荐引用方式 GB/T 7714 | Ismail, Ismail,Fotias, Sofianos Panagiotis,Avgoulas, Dimitris,et al. Integrated Black Oil Modeling for Efficient Simulation and Optimization of Carbon Storage in Saline Aquifers[J],2024,17(8). |
APA | Ismail, Ismail,Fotias, Sofianos Panagiotis,Avgoulas, Dimitris,&Gaganis, Vassilis.(2024).Integrated Black Oil Modeling for Efficient Simulation and Optimization of Carbon Storage in Saline Aquifers.ENERGIES,17(8). |
MLA | Ismail, Ismail,et al."Integrated Black Oil Modeling for Efficient Simulation and Optimization of Carbon Storage in Saline Aquifers".ENERGIES 17.8(2024). |
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