The growing demand for sustainable
energy solutions due to escalating
climate change challenges has spurred interest in the production of
hydrogen from petroleum reservoirs. This comparative numerical study
investigates the optimization of hydrogen generation from depleted
light oil reservoirs through double-simultaneous gas injection techniques,
namely, CH4 + CO2, CO2 + O2, and N2 + O2, using the CMG STARS thermal
reservoir simulator. The study focuses on multilayered depleted light
oil reservoirs and runs simulations for a period of 15 years to evaluate
long-term production viability. Furthermore, it explores the impact
of critical reservoir parameters and injection strategies on the hydrogen
yield. Findings reveal that CH4 + CO2 is the
most effective technique, yielding a significant cumulative hydrogen
production of 189,225 kg, representing a 102.26% increase from the
base case. CO2 + O2 and N2 + O2 strategies also show substantial improvements upon optimization,
with the cumulative hydrogen production increasing by 33.95 and 181.80%,
respectively. Sensitivity analysis highlights the influence of reservoir
porosity, permeability, temperature, injection pressure, and gas mole
fraction on the hydrogen yield. Reservoir porosity and permeability
significantly affect hydrogen generation efficiency, particularly
with the CH4 + CO2 strategy showing heightened
sensitivity. Temperature optimization proves crucial for maximizing
reaction kinetics, while adjusting the injection pressure and gas
mole fraction further enhances hydrogen production. This study underscores
the complex interplay between reservoir characteristics and injection
parameters in in situ hydrogen generation. Optimization efforts offer
promising avenues for improving the hydrogen production efficiency
from depleted light oil reservoirs, contributing to sustainable energy
solutions.
