2021, 40(3) 689-696 DOI:     ISSN: 1004-5589 CN: 22-1111/P

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Keywords
 optimal moving window
Euler deconvolution
estimate function
truncation error
Authors
YANG Bo
CAO Shu-jin
MAO Ya-jing
ZHOU Yong
ZHU Zi-qiang
CHEN Xin-yue
PubMed
Article by YB
Article by Cao S
Article by Mao Y
Article by Zhou Y
Article by Zhu Z
Article by Chen X

 Optimal moving window for Euler deconvolution of gravity data

 YANG Bo,CAO Shu-jin,MAO Ya-jing,ZHOU Yong,ZHU Zi-qiang,CHEN Xin-yue

 1. Hunan Provincial Key Laboratory of Shale Gas Resource Utilization,Hunan University of Science and Technology,Xiangtan

411201,Hunan,China;
2. School of Resource Environment and Safety Engineering,Hunan University of Science and Technology,Xiangtan 411201,
Hunan,China;
3. School of Geosciences and Info-physics,Central South University,Changsha 410083,China;
4. School of Resource Environment and Tourism,Hunan University of Arts and Science,Changde 415000,Hunan,China

Abstract

 In the Euler deconvolution method,it is difficult to characterize multiple anomalous sources using a single structural index. However,looping over survey grid with different sized square moving window,Euler solution set often with huge size,which increases unnecessary subsequent processing and interpretation work. Therefore,

the authors use clustering method to analyze the Euler solution set,which is obtained by solving the Euler homogeneous equations with truncated singular value decomposition. Each large linear equations formed by Euler deconvolution on a square moving window have the excessive conditions number. This phenomenon easily leads to the non-uniqueness and instability of Euler solutions and is estimated by truncated singular value decomposition. Furthermore,the proportion of the optimal solution in Euler solution set with different sized moving windows for
same sized anomalous sources is compared and analyzed,so as to analyze the proportional relationship between the size of moving window and the size of anomalous source,and the size of optimal moving window was determined.
The model experiment results show that when the distance between the survey grids is one tenth of the size of the abnormal source,the size of optimal moving window should be 3 times the size of the anomalous source and less
than 0. 5 times the size of the exploration area.

Keywords  optimal moving window   Euler deconvolution   estimate function   truncation error  
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