Integrated Black Oil Modeling for Efficient Simulation and Optimization of Carbon Storage in Saline Aquifers
Ismail Ismail,
Sofianos Panagiotis Fotias,
Dimitris Avgoulas and
Vassilis Gaganis ()
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Ismail Ismail: School of Mining and Metallurgical Engineering, National Technical University of Athens, 15772 Athens, Greece
Sofianos Panagiotis Fotias: School of Mining and Metallurgical Engineering, National Technical University of Athens, 15772 Athens, Greece
Dimitris Avgoulas: School of Mining and Metallurgical Engineering, National Technical University of Athens, 15772 Athens, Greece
Vassilis Gaganis: School of Mining and Metallurgical Engineering, National Technical University of Athens, 15772 Athens, Greece
Energies, 2024, vol. 17, issue 8, 1-30
Abstract:
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 CO 2 storage. However, accurately assessing their storage capacity and CO 2 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 CO 2 –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, CO 2 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 °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.
Keywords: carbon capture; utilization and storage (CCUS); carbon capture and storage (CCS); reservoir simulation; fluid model; black oil simulation; compositional simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:8:p:1914-:d:1377387
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