水合物在世界范围内分布广泛，是一种21世纪具有极大开发潜力的新型能源，如何准确识别海陆域水合物是水合物勘探的关键问题，对水合物资源分布和储层评价具有重要意义。海陆域水合物贮存位置的差异使不同储集层呈现不同的测井响应特征，给储层识别带来挑战。针对不同赋存地质特征的水合物，重点阐述了海陆域水合物在不同测井方法的测井响应特征及响应差异，总结了海陆域水合物储层常用测井识别方法的研究进展。最后，对机器学习在水合物储层识别领域的应用进行了展望，为水合物资源的勘探智能化研究与发展提供参考。

Gas hydrate is widely distributed around the world and is a new type of energy with great development potential in the 21st century. Accurately identifying hydrates in both marine and terrestrial environments is a key issue in hydrate exploration, and it is of significant importance for understanding hydrate resource distribution and reservoir evaluation. The differences in the storage locations of marine and terrestrial hydrates cause different reservoir layers to exhibit distinct logging responses, presenting challenges for reservoir identification. The logging response characteristics and response differences of marine and terrestrial hydrates under various logging methods were focused on, with particular attention given to the hydrates' geological characteristics in different depositional environments. The research progress of commonly used logging identification methods for marine and terrestrial hydrate reservoirs is summarized. Finally, it looks forward to the application of machine learning in the identification of hydrate reservoirs, providing a reference for the intelligent exploration and development of hydrate resources.