This invention relates to the field of underground reservoir
site selection technology, specifically to a method for selecting underground
compressed hydrogen energy storage sites. The method includes: collecting multi-source borehole data from various candidate sites and extracting microscopic lithological characteristics, macroscopic stratigraphic characteristics, and parameter correlation characteristics; constructing a geological framework model based on the macroscopic stratigraphic characteristics, using data reflecting microscopic lithological characteristics and parameter correlation characteristics as
soft data to generate several heterogeneous stochastic geological models; selecting several of these models as representative models and performing multi-
physics coupled numerical simulations to obtain a series of
performance index sets; quantifying the uncertainty of each
performance index set and using a multi-objective optimization
ranking method to comprehensively
score and rank each candidate site; this method enables full utilization of multi-source borehole data, considers geological uncertainties, allows for high-fidelity stochastic geological
modeling and simulation, and enables
quantitative assessment of the performance and risk of multiple candidate sites.