During gas hydrate extraction, insufficient heating or depressurization can lead to incomplete hydrate decomposition, resulting

in lower-than-expected actual gas production. In this paper, a method for assessing the degree of hydrate decomposition based on an electronic nose

system is proposed. First, the electronic nose system was developed to

collect the information of gas produced by gas hydrate decomposition

under different humidity conditions. Then, a Convolutional Neural

Network combined with Domain Adaptive Compensation feature