岩土工程学报2025，Vol.47Issue(z2)：13-18,6.DOI:10.11779/CJGE2025S20022
盐穴储氢库稳定性评价生成式模型及应用框架
Generative model and application framework for stability evaluation of salt cavern hydrogen storage facilities
摘要
Abstract
Amid the accelerating transformation of the global energy structure,hydrogen energy,with its characteristics of abundant resources and zero carbon emissions,has emerged as a crucial part of China's energy development strategy.Underground salt cavern hydrogen storage has significant advantages in terms of cost,scale,and storage cycle.However,currently there are relatively few construction and operation cases in China,and the intelligent evaluation of the stability of salt cavern hydrogen storage facilities only considers data-driven approaches,without exploring the impact of physical information constraints.This paper proposes a generative model framework based on Transformer for the stability evaluation of salt cavern hydrogen storage facilities.For the generative model of the stability evaluation of salt cavern hydrogen storage facilities,a multi-scenario database of real data+virtual data is constructed.A generative model training and state adaptive optimization method based on data-driven and mechanism constraints is established.A hierarchical early warning system for the stability evaluation of salt cavern hydrogen storage is proposed,and an intelligent early warning platform based on the"edge-cloud collaboration"double-layer architecture is developed.Comprehensively,two methods-field observation comparison and scenario simulation early warning response-are used for application verification,which can provide technical support for the stability evaluation of salt cavern hydrogen storage facilities under different operating conditions.关键词
盐穴储氢库/稳定性评价/生成式模型/分级预警/智能预警平台Key words
salt cavern hydrogen storage facility/stability evaluation/generative model/hierarchical warning/intelligent warning platform分类
建筑与水利引用本文复制引用
雷华阳,张昕宇,许英刚..盐穴储氢库稳定性评价生成式模型及应用框架[J].岩土工程学报,2025,47(z2):13-18,6.基金项目
国家重点研发计划课题(2023YFB4005504) （2023YFB4005504）
