铀矿地质2024，Vol.40Issue(4)：729-739,11.DOI:10.3969/j.issn.1000-0658.2024.40.065
重力资料在二连盆地构造单元区划及断裂构造识别中的应用
Application of Gravity Data in the Division of Structural Units and Identification of Fault Systems in the Erlian Basin
摘要
Abstract
Erlian Basin is one of the most important sandstone type uranium resource production base in China.Most of the uranium deposits are concealed paleochannel sandstone type.In order to clarify the geological structure characteristics in the study area and provide exploration directions for uranium resources,this paper used the latest gravity data,and processed it through Bouguer anomaly correction,analytical extension,and total horizontal derivative calculation to obtain geophysical field information related to faults and basin boundaries.The research results revealed that the gravity anomalies in the Erlian Basin have obvious zoning characteristics.Based on the characteristics of gravity anomalies,a total of 48 faults have been inferred,which mainly trending northeast and northwest with the northeast as the main direction.The northwest fault transformed and shifted the northeast fault.Based on the comprehensive research on fault division and basement burial depth,the structural boundaries of Manit Depression,Ulanqab Depression,Sunite Uplift,and Wendu'er Temple Uplift were redefined.Gravity data information showed that the known uranium mineralization were close related to the basin basement uplift and depression and the uranium mineralization mostly distributed at the slope belt in the structural area.Based on the characteristics of geophysical field and inferred fault distribution in the entire region,Manit Depression and Ulanqab Depression were regarded as the favourable prospect area for sandstone type uranium deposits.关键词
重力资料/二连盆地/构造区划/断裂构造特征Key words
gravity data/Erlian Basin/geotectonic division/characteristics of fault structure分类
天文与地球科学引用本文复制引用
高玲举,于磊,陈聪,刘祜,周俊杰,高爽,韩杰..重力资料在二连盆地构造单元区划及断裂构造识别中的应用[J].铀矿地质,2024,40(4):729-739,11.基金项目
中核铀业地勘费项目"相山火山盆地物探资料二次开发与应用"(编号:202429-8)和山东省自然科学基金项目(编号:ZR2021MD069)联合资助. （编号:202429-8）
