典型文献
Vector transformation and reduction to the pole for regional magnetic data with variable field direction
文献摘要:
The vector transformation and pole reduction from the total-field anomaly are significant for the interpretation.We examined these industry-standard processing procedures in the Fourier domain.We propose a novel iteration algorithm for regional magnetic anomalies transformations to derive the vertical-component data from the total-field measurements with the variation in the core-field direction over the region.Additionally,we use the same algorithm to convert the calculated vertical-component data into the corresponding data at the pole and realize the processing of differential reduction to the pole(DRTP).Unlike Arkani-Hamed's DRTP method,the two types of iterative algorithms have the same forms,and DRTP is realized by implementing this algorithm twice.The synthetic model's calculation results show that the method has high accuracy,and the field data processing confirms its practicality.
文献关键词:
中图分类号:
作者姓名:
Luo Yao;Wu Mei-Ping
作者机构:
China Aero Geophysical Survey and Remote Sensing Center for Natural and Resources,Beijing 100083,China;College of Intelligence Science and Technology,National University of Defense Technology,Changsha 410073,China
文献出处:
引用格式:
[1]Luo Yao;Wu Mei-Ping-.Vector transformation and reduction to the pole for regional magnetic data with variable field direction)[J].应用地球物理(英文版),2022(01):107-116
A类:
DRTP,Arkani,Hamed
B类:
Vector,reduction,pole,regional,magnetic,data,variable,field,direction,vector,from,total,anomaly,are,significant,interpretation,We,examined,these,industry,standard,processing,procedures,Fourier,domain,propose,novel,iteration,anomalies,transformations,derive,vertical,component,measurements,variation,core,over,Additionally,we,use,same,convert,calculated,into,corresponding,differential,Unlike,method,two,types,iterative,algorithms,have,forms,realized,by,implementing,this,twice,synthetic,model,calculation,results,show,that,has,high,accuracy,confirms,its,practicality
AB值:
0.532255
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