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中国南部及邻区能源资源成矿区带数据集
引用本文:游国庆,易荣龙,耿树方,陈炳蔚,庞健峰,杨志新,李佳林.中国南部及邻区能源资源成矿区带数据集[J].中国地质,2018,45(S1):66-75.
作者姓名:游国庆  易荣龙  耿树方  陈炳蔚  庞健峰  杨志新  李佳林
作者单位:中国地质科学院地质研究所, 北京 100037,中国地质科学院地质研究所, 北京 100037,中国地质科学院地质研究所, 北京 100037,中国地质科学院地质研究所, 北京 100037,中国地质科学院地质研究所, 北京 100037,中国地质科学院地质研究所, 北京 100037,中国地质科学院地质研究所, 北京 100037;中国地质大学(北京), 北京 100083
基金项目:中国地质调查项目“中国板块构造综合研究”(编号:DD20160345-30)和“中东亚跨境成矿带对比与综合编图”编号:DD20160102)联合资助。
摘    要:能源矿产是国家安全和经济发展的战略资源,加强我国及周边地区油气和煤等能源资源的研究和开发利用意义重大。依据板块构造和大陆动力学以及油气与煤成藏地质学理论,以深部构造控制盆—山发育、盆—山耦合和热动力系统控制成矿的研究工作思路,应用70个油气田、471个煤田的基础地质资料,从沉积盆地发育的区域地质特征、成矿地质条件和成矿单元诸多方面,在地理信息系统(GIS)平台上提示了该区板块构造格局与能源资源的时空分布规律。中国南部及邻区能源资源可划分为3个成矿域,每个成矿域又可进一步划分为成矿省、含矿区(盆地)、矿田聚集区带、矿田(油气田)五个级别的成矿区域。数据集由构造带(断裂带和造山带)类型和时代、盆地类型和时代、能源矿产资源类型和丰度、成矿区带等元数据组成。该数据集是在区域大地构造研究的基础上,结合沉积盆地能源矿产(石油、天然气、煤)资源评价资料,综合分析成矿区带特征,利用地理信息系统(GIS)建立的一套完整的数据库,不仅是对中国南部及邻区区域地质认识和沉积盆地能源资源勘查工作成果的集成,而且为国家科学地引导地质找矿工作部署提供理论基础。

关 键 词:能源资源  成矿区带  数据集  中国南部及邻区
收稿时间:2018/3/19 0:00:00
修稿时间:2018/4/10 0:00:00

Dataset of Metallogenic Provinces and Belts of Energy Resources in Southern China and Adjacent Areas
YOU Guoqing,YI Ronglong,GENG Shufang,CHEN Bingwei,PANG Jianfeng,YANG Zhixin and LI Jialin.Dataset of Metallogenic Provinces and Belts of Energy Resources in Southern China and Adjacent Areas[J].Chinese Geology,2018,45(S1):66-75.
Authors:YOU Guoqing  YI Ronglong  GENG Shufang  CHEN Bingwei  PANG Jianfeng  YANG Zhixin and LI Jialin
Institution:Institute of Geology, Chinese academy of Geological Sciences, Beijing 100037, China,Institute of Geology, Chinese academy of Geological Sciences, Beijing 100037, China,Institute of Geology, Chinese academy of Geological Sciences, Beijing 100037, China,Institute of Geology, Chinese academy of Geological Sciences, Beijing 100037, China,Institute of Geology, Chinese academy of Geological Sciences, Beijing 100037, China,Institute of Geology, Chinese academy of Geological Sciences, Beijing 100037, China and Institute of Geology, Chinese academy of Geological Sciences, Beijing 100037, China;China University of Geosciences, Beijing 100083, China
Abstract:Energy and mineral resources constitute a country''s strategic resources for national security and economic development. It is of paramount importance to strengthen research and development (R&D) on oil, gas, coal and other energy resources in China and surrounding regions. According to plate tectonics, continental dynamics and geological theory of oil, gas and coal reservoir, with the research thought of deep structure controlling the basin-range development, basin-range coupling and geothermal dynamical system controlling the mineralization, by the basic geological data of 70 oil and gas fields and 471 coal fields, in aspects such as the regional geological characteristic, metallogenic geological condition and metallogenic unit of sedimentary basin development, the spatial-temporal distribution law of plate tectonic pattern and energy resources of the area are prompted on the GIS platform. The energy resources in Southern China and adjacent areas may be divided into three metallogenic domains. Therein, each tectonic metallogenic domain may be subdivided into metallogenic regions of four levels:metallogenic province, ore-bearing area (basin), ore field aggregation zone (belt), and ore field (oil and gas field). Moreover, the dataset is composed of type and time of tectonic zone (fault zone and orogenic belt), type and time of basin, type and abundance of energy and mineral resources, metallogenic province and belt, and other metadata. Based on regional tectonic research, this dataset is a complete database established by GIS. It is in line with the evaluation data of energy and mineral resources (oil, natural gas, coal) of sedimentary basin, and the comprehensive analysis of the characteristics of metallogenic provinces and belts. It not only features the integration of regional geological cognition and energy resource prospection achievements of sedimentary basin in Southern China and adjacent areas, but also the theoretical foundation for the scientific direction of geological prospecting deployment of the State.
Keywords:energy resources  metallogenic provinces and belts  dataset  southern China and adjacent areas
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