The invention discloses a
Bayesian optimization-based
hydrate reaction condition calculation method. The method comprises the following steps of S1, obtaining an initial
data set through experimental measurement and numerical
simulation; s2, establishing mathematical modeling of a
hydrate reaction process based on
chemical reaction engineering knowledge, and generating a
simulation model; s3, constructing a proxy model by using a
Bayesian optimization algorithm, and performing probability modeling and prediction on the target
performance index to obtain performance distribution under a given experimental condition; s4, calculating and recommending optimal experiment parameters according to an expected improvement criterion; s5, performing an experiment or
simulation under a recommendation condition, and merging new data into an existing
data set; s6, repeating the steps of
Bayesian optimization modeling, experiment recommendation and data updating until a predetermined termination condition is reached; and S7, outputting the optimized optimal reaction condition parameters and performance indexes. According to the method, the optimization efficiency and the data
utilization rate are improved, multiple targets and complex constraints can be considered, and the scientificity and practicability of industrial process parameter optimization are remarkably enhanced.