重力数据处理中几种断裂构造识别方法的组合应用  

COMBINED APPLICATION OF SEVERAL METHODS FOR FAULT STRUCTURE IDENTIFICATION IN GRAVITY DATA PROCESSING

作　　者：郇恒飞[1] 郭灿文 孙守亮[1] 李永飞[1] 高铁[1] 王洋 HUAN Heng-fei;GUO Can-wen;SUN Shou-liang;LI Yong-fei;GAO Tie;WANG Yang(Shenyang Center of China Geological Survey,Shenyang 110034,China;National Marine Data and Information Service,Tianjin 300171,China;No.2 Geological Logging Plant of Daqing Drilling and Exploration Co.,Ltd.,Songyuan 110031,Jilin Province,China)

机构地区：[1]中国地质调查局沈阳地质调查中心,辽宁沈阳110034 [2]国家海洋信息中心,天津300171 [3]大庆钻探地质录井二公司,吉林松原138000

出　　处：《地质与资源》2020年第5期467-475,共9页Geology and Resources

基　　金：中国地质调查局项目“松辽外围南部盆地群油气基础地质调查”(DD20160167);“冀北-辽西中新元古界油气地质调查”(DD201900098);“大连海岸带陆海统筹综合地质调查”(DD20189504);国家重点研发计划项目“华北克拉通成矿系统的深部过程与成矿机理”(2016YFC0600108).

摘　　要：为了提高使用重力数据推断断裂构造的有效性,先以“田”字形小子域滤波法突出重力梯级带异常,再分别联合水平总梯度模、解析信号振幅及水平方向导数进行二次处理.通过理论模型试验,比较单方法及不同组合方法的处理效果,并将组合方法应用到金羊盆地实测重力数据的处理中,推断研究区的断裂构造格架.与地震剖面划分的断裂进行比对,证明了利用组合方法划分断裂构造的有效性.研究结果表明,已有断裂构造识别方法的组合应用能够更清晰地刻画地质体的边界,在应用重力数据推断断裂构造方面具有非常好的实用性.To improve the effect of gravity data to infer fault structures,the gridding small domain filtering method is used to highlight the anomaly of gravity gradient zone first,then the horizontal total gradient modulus,analytic signal amplitude and horizontal direction derivative are combined respectively to carry out the secondary processing.Through theoretical model tests,the processing result of single method is compared with that of different combination methods.The combination methods are applied in the measured gravity data processing of Jinyang Basin to infer the fault structure framework in the study area.Comparison of the faults with those determined by seismic section proves the effectiveness of the combined methods in division of fault structures.The results show that the combined application of existing fault structure identification methods can clearly delineate the boundary of geological bodies,and is particularly practical in gravity data processing.

关 键 词：重力数据 断裂构造 “田”字形小子域滤波 水平总梯度模 解析信号振幅 水平方向导数 

分 类 号：P631.1[天文地球—地质矿产勘探]