Hydrogen-brine mixture PVT data for reservoir simulation of hydrogen storage in deep saline aquifers

• Published in: International journal of hydrogen energy 2023-01, Vol.48 (2), p.696-708
• Main Authors: Jafari Raad, Seyed Mostafa, Ranjbar, Ehsan, Hassanzadeh, Hassan, Leonenko, Yuri
• Format: Article
• Language: English
• Subjects: Black-oil simulation; Energy storage; Hydrogen underground storage; Numerical simulation; PVT model; Saline aquifers
• ISSN: 0360-3199; 1879-3487
• DOI: 10.1016/j.ijhydene.2022.09.222

An accurate assessment of hydrogen storage mechanisms in an aquifer storage project requires detailed flow and transport modeling. The equation-of-state (EOS) based compositional phase equilibrium approaches make these models computationally expensive. This paper proposes using the black-oil simulation approach for the specific case of hydrogen storage in saline aquifers to reduce the computational burden of the flow simulations. We present a simple and efficient algorithm for converting hydrogen-brine phase equilibrium compositional data obtained from the Redlich and Kwong EOS into black-oil PVT data. The algorithm accurately predicts the hydrogen-brine transport properties required for the black-oil flow simulations of underground hydrogen storage. Numerical simulations for a simple cyclic hydrogen injection-production case reveal that the black-oil simulations are at least one order of magnitude faster than the compositional ones without loss of accuracy. These results support applying the black-oil PVT model and the simulation approach for numerical simulations of large-scale hydrogen storage in deep saline aquifers. •An algorithm for converting compositional data into black-oil PVT data is presented.•The PVT model accurately predicts hydrogen-brine phase equilibrium data.•A black-oil simulation approach is applied for hydrogen storage in saline aquifers.•Black-oil simulations are an order of magnitude faster than the compositional ones.