Acetylene hydrogenation reactor is an important device of the ethylene plant

and its working condition directly affects the purity and yield of ethylene products

so it is of great significance to improve the modeling and optimization efficiency of the reaction process for acetylene hydrogenation. However

directly optimizing high precision CFD models are often low efficiency because of the large calculation. This paper from the model accuracy of prediction variance and improvement of the effectiveness of global search

proposes a bootstrap GEI algorithm based on Kriging surrogate model. Through simulation contrast of test functions

compared with bootstrap EI algorithm

this algorithm can find the optimal sample points of global search and reduce the number of sample points

so as to improve the efficiency of the model updating and optimization. And this algorithm is effectively validated in the surrogate model of acetylene hydrogenation reactor.