A knowledge graph for standard carbonate microfacies and its application in the automatical reconstruction of the relative sea-level curve
作者机构：State Key Laboratory of Oil and Gas Reservoir Geology and ExploitationChengdu University of TechnologyChengdu 610059China Key Laboratory of Deep-time Geography and Environment Reconstruction and ApplicationsMNR&Institute of Sedimentary GeologyChengdu University of TechnologyChengdu 610059China State Key Laboratory of Biogeology and Environmental GeologyChina University of Geosciences(Beijing)Beijing 100083China
出 版 物：《Geoscience Frontiers》 (地学前缘（英文版）)
年 卷 期：2023年第14卷第5期
页 面：402-414页
核心收录：
学科分类：070904[理学-构造地质学] 070902[理学-地球化学] 0709[理学-地质学] 07[理学]
基 金：supported by the IUGS Deep-time Digital Earth(DDE)Big Science Program,National Natural Science Foundation of China(No.42050104,No.42102138 and No.U19B6003) the Open Fund(DGERA20221103)of Key Laboratory of Deep-time Geography and Environment Reconstruction and Applications of Ministry of Natural Resources Chengdu University of Technology,China and the Open Fund(PLC20210202)of the State Key Labora-tory of Oil and Gas Reservoir Geology and Exploitation(Chengdu University of Technology,China)
主 题：Sea-level curve Standard microfacies Knowledge graph Ediacaran Dengying Formation
摘 要：The reconstruction of high-resolution sea-level variation curves in deep time based on the standard car-bonate microfacies knowledge graph(SMFKG)is of great scientific significance for exploring the Earth system evolution and predicting future sea-level and climate *** this study,the concepts,attri-butes,and relationships among standard carbonate microfacies(SMF)are comprehensively analyzed;an ontology layer is established and its data layer is constructed using thin-section descriptions;and finally,the SMFKG is ***,based on the knowledge graph,an application for automatically identifying SMF using identification markers and reconstructing the high-resolution relative sea-level variation curve using the SMF and facies zones is ***,all thin sections of the late Ediacaran Dengying Formation in the western margin of the Yangtze Platform are observed and described in detail,the SMF and facies zones are identified automatically,and the relative sea-level curve is recon-structed automatically using the *** reconstruction results show that the Yangtze Platform experienced four sea-level rise and fall cycles in the late Ediacaran,of which two intense regressions led to subaerial-exposed unconformities in the interior and top of the Dengying Formation,which is highly consistent with previous research *** shows that the high-resolution relative sea-level variation curve in deep time can be reconstructed efficiently and intelligently using the ***,in the near future,the combination of an automatic digital slide-scanning system,machine-learning techniques,and the SMFKG can achieve one-stop fully automatic SMF recognition and reconstruction of high-resolution relative sea-level variation curves in deep time,which has a high application value.
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