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层序地层学在砂岩型铀矿勘查中的应用现状与前景展望
引用本文:郭庆银,陈祖伊,韩淑琴,于金水.层序地层学在砂岩型铀矿勘查中的应用现状与前景展望[J].铀矿地质,2008,24(1):5-11,4.
作者姓名:郭庆银  陈祖伊  韩淑琴  于金水
作者单位:1. 中国地质大学(北京)地球科学与资源学院,北京,100083;核工业北京地质研究院,北京,100029
2. 核工业北京地质研究院,北京,100029
3. 中国地质科学院,地质力学研究所,北京,100081
摘    要:层序地层学是在地震地层学基础上发展起来的一门新兴学科,在油气等沉积矿产勘探中得到了广泛应用,并取得了丰硕的成果,但在砂岩型铀矿勘查中的应用却刚刚起步.本文总结了近年来层序地层学研究在砂岩型铀矿勘查中取得的成果,分析了层序研究中存在的问题及产生的原因,并根据砂岩型铀矿成矿特征和层序地层学发展情况展望了其应用前景,明确了层序地层学的具体应用方向,提出了具体工作建议.

关 键 词:层序地层学  砂岩型铀矿  应用现状  前景展望  层序地层学  砂岩型  铀矿勘查  应用方向  现状  前景展望  uranium  deposits  exploration  sequence  stratigraphy  status  工作  情况  成矿特征  问题  存在  分析  研究  矿产勘探  沉积  油气
文章编号:1000-0658(2008)01-0005-08
收稿时间:2007-07-16
修稿时间:2007年7月16日

Application status and vistas of sequence stratigraphy to the exploration of sandstone-hosted uranium deposits
GUO Qing-yin,CHEN Zu-yi,HAN Shu-qin,YU Jin-shui.Application status and vistas of sequence stratigraphy to the exploration of sandstone-hosted uranium deposits[J].Uranium Geology,2008,24(1):5-11,4.
Authors:GUO Qing-yin  CHEN Zu-yi  HAN Shu-qin  YU Jin-shui
Abstract:Sequence stratigraphy is a newly developed subject based on seismostratigraphy,and has been widely applied in the exploration of hydrocarbon and other sedimentogenic mineral deposits and great achievements have been obtained. However, the application of sequence stratigraphy to the exploration of sandstone-hosted uranium deposits is just at the beginning. In this paper, some primary research achievements of sequence stratigraphy to the exploration of sandstone-hosted uranium deposits are summarized, and problems and their reasons of the application of sequence stratigraphy are discussed. Further more, according to characteristics of sandstone-hosted uranium deposits and the development of sequence stratigraphy, the application vistas of sequence stratigraphy to the exploration of sandstone-hosted uranium deposits are estimated. Finally, application directions are proposed, and some specific suggestions are given.
Keywords:sequence stratigraphy  sandstone-hosted uranium deposits  application status  vistas estimation
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