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Numerical simulation of microbial biohydrogen production under high-pressure, high-temperature conditions for enhanced recovery from depleted reservoirs
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David Abutua, c, Peter Ikechukwu Nwaichia, Chika Umunnawuikea, Francis Nyaha, Barima Moneya, Hafizuddin Wan Yussofa, Augustine Agia, b, *
Petroleum Research | 2026, 11(1) : 206 - 216
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Petroleum Research | 2026, 11(1): 206-216
• Full Length Article •
Numerical simulation of microbial biohydrogen production under high-pressure, high-temperature conditions for enhanced recovery from depleted reservoirs
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David Abutua, c, Peter Ikechukwu Nwaichia, Chika Umunnawuikea, Francis Nyaha, Barima Moneya, Hafizuddin Wan Yussofa, Augustine Agia, b, *
Affiliations
  • aFaculty of Chemical and Process Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuhraya Persiaran Tun Khalil Yaakob 26300 Kuantan, Pahang, Malaysia
  • bCentre for Research in Advanced Fluid and Processes (Fluid Centre), Universiti Malaysia Pahang Al-Sultan Abdullah, 26300 Gambang, Pahang, Malaysia
  • cDepartment of Chemical Engineering, Federal University Wukari, Nigeria
Published: 2026-03-10 doi: 10.1016/j.ptlrs.2025.07.006
Outline
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The growing demand for sustainable energy has intensified interest in biohydrogen production under extreme environmental conditions. This study presents a numerical simulation of hydrogen production in a high-temperature, high-pressure batch bioreactor system designed to mimic depleted hydrocarbon reservoir environments. The model captures microbial fermentation dynamics using dual substrates glucose and n-hexadecane under varying temperature (35-70 ℃), pressure (1-40 atm), salinity (0-50 g/L NaCl), and surfactant-enhanced availability (α = 1-12). Monod kinetics with product (Hydrogen) and salinity inhibition terms govern biomass growth and substrate consumption. Gas accumulation is modeled using Henry's and ideal gas laws, while thermal behavior is represented using lumped heat transfer and Arrhenius-based growth scaling. Initial conditions include 10 mmol/L glucose, 1 mmol/L hexadecane, and 0.1 g/L biomass in a 1.0 L batch system at 55 ℃. Over 24 h, the model predicts a maximum hydrogen accumulation of 4.34 L, with a final H2 purity of 89.6% and biomass concentration of 1.20 g/L. Parametric simulations reveal that 55 ℃ yields the highest hydrogen output (3.31 mol/mol substrate), while increasing salinity and pressure reduce biomass and gas evolution. Surfactant addition significantly improves hydrocarbon utilization, reducing hexadecane from 1.0 to 0.12 mmol/L at α = 12, with up to 72.8% yield enhancement. Glucose drives early hydrogen evolution, while hexadecane contributes to sustained production under co-metabolic conditions. All equations were solved using Python with parametric looping and ODE integration. This simulation framework provides a robust tool for evaluating microbial-enhanced hydrogen recovery (MEHR) and optimizing reactor design conditions for biohydrogen generation in repurposed subsurface reservoirs.

Depleted hydrocarbon reservoir  /  Dark fermentation  /  Biohydrogen  /  Bioreactor simulation  /  High temperature high pressure bioreactor
David Abutu, Peter Ikechukwu Nwaichi, Chika Umunnawuike, Francis Nyah, Barima Money, Hafizuddin Wan Yussof, Augustine Agi. Numerical simulation of microbial biohydrogen production under high-pressure, high-temperature conditions for enhanced recovery from depleted reservoirs[J]. Petroleum Research, 2026 , 11 (1) : 206 -216 . DOI: 10.1016/j.ptlrs.2025.07.006
  • Petronas Malaysia(UIC240814)
Year 2026 volume 11 Issue 1
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Article Info
doi: 10.1016/j.ptlrs.2025.07.006
  • Receive Date:2025-02-15
  • Online Date:2026-10-14
  • Published:2026-03-10
Article Data
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History
  • Received:2025-02-15
  • Revised:2025-07-24
  • Accepted:2025-07-27
Funding
Petronas Malaysia(UIC240814)
Affiliations
    aFaculty of Chemical and Process Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuhraya Persiaran Tun Khalil Yaakob 26300 Kuantan, Pahang, Malaysia
    bCentre for Research in Advanced Fluid and Processes (Fluid Centre), Universiti Malaysia Pahang Al-Sultan Abdullah, 26300 Gambang, Pahang, Malaysia
    cDepartment of Chemical Engineering, Federal University Wukari, Nigeria

Corresponding:

* Faculty of Chemical and Process Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuhraya Persiaran Tun Khalil Yaakob 26300 Kuantan, Pahang, Malaysia E-mail address: (A. Agi).
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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