摘要
利用趋势面分析方法可以对实际测量数据进行趋势渐变特征分析,从而有效识别异常信息。这里采用趋势面分析法提取氡气测量弱异常,并结合白家营子地区火山岩型铀矿勘查实例,分析了其应用效果。通过钻孔验证,效果较好。综合分析认为:采用趋势面分析法处理氡气测量数据,可以有效强化弱异常信息,便于分析异常规律;用该方法处理火山岩型铀矿远景区测氡数据,可以有效地圈定弱异常,从而为铀矿勘查工作的进一步开展提供借鉴。
Trend surface analysis method can be resolved from the actual data value trend and abnormal value, thus effec tively extract the weak anomaly information. In this paper, the method applied to the extraction of weak anomaly radon gas combining with the example of the method in the volcanic rock type uranium deposit exploration vision application effect is ana lyzed. The drilling data verifies that its e effect is good. Comprehensive analysis indiates that: the application of trend surface analysis method to select the radon anomaly, compared with the traditional method, can increase the scope of the abnormal strengthening weak anomaly information; Deal with volcanic rock type uranium deposit vision zone with the method measuring radon data, can effectively identify areas weak anomaly, which provides the basis for the further development of for uranium exploration work.
作者
杨明
孟凡兴
汪来
朱佳宁
薛伟
刘小刚
YANG Ming;MENG Fanxing;WANG Lai;ZHU Jianing;XUE Wei;LIU Xiaogang(Airborne Survey and Remote Sensing Center of Nuclear Industry,CNNC Key Laboratory for Geophysical Exploration Technology Center of Uranium Resource,Shijiazhuang 050002,China;Geologic Party No.208,CNNC,Baotou 014010,China)
出处
《物探化探计算技术》
CAS
CSCD
2018年第4期511-515,共5页
Computing Techniques For Geophysical and Geochemical Exploration
基金
中国核工业地质局基础地质专项(201604-3)
关键词
趋势面分析法
氡气测量
异常提取
火山岩型铀矿
btrend surface analysis method
radon measurement
anomaly extraction
volcanic rock type uranium deposit