2016, 35(3) 858-864 DOI:     ISSN: 1004-5589 CN: 22-1111/P

Current Issue | Archive | Search                                                            [Print]   [Close]
论文
Information and Service
This Article
Supporting info
PDF(510KB)
[HTML]
Reference
Service and feedback
Email this article to a colleague
Add to Bookshelf
Add to Citation Manager
Cite This Article
Email Alert
Keywords
gravity
correlation imaging
windows
superposition anomaly
Authors
ZHAO Guo-Xin
WU Yan-Gang
WANG Feng-Gang
LI Zhao-Hui
XING Cong-Cong
PubMed
Article by Zhao, G. X.
Article by Wu, Y. G.
Article by Wang, F. G.
Article by Li, Z. H.
Article by Xing, C. C.

Gravity correlation imaging based on window data

ZHAO Guo-Xin, WU Yan-Gang, WANG Feng-Gang, LI Zhao-Hui, XING Cong-Cong

1. College of Geo- exploration Science and Technology,Jilin University,Changchun 130026,China; 2. Institute of Geology,Shougang Geological Exploration Institute,Beijing 100144,China

Abstract

Potential correlation imaging method can obtain the location of the source rapidly. To reduce the impact of superposed anomaly on correlation imaging,the existing methods usually use residual anomaly or vertical derivative imaging. The authors add a data intercept window to truncate the data, and calculate the correlation coef- ficient based on window data to reduce the impact of adjacent field source and improve the resolution of imaging. The windows were selected by the values of correlation coefficient extremum to get more reliable imaging results. With the test of gravity models,it was proved that the method can improve the resolution of imaging. The method was applied to calculate the depth of a mine tunnel in Heiyugou of Huludao City,and the result was satisfactory.

Keywords gravity   correlation imaging   windows   superposition anomaly  
Received  Revised  Online:  
DOI:
Fund:
Corresponding Authors:
Email:
About author:

References:
Similar articles
1.WANGDazhuang, LITong1i, ZHANGRongzhe, KANGXinze, HEHaoyuan.Joint inversion of 3D resistivity  and gravity  method based on structural constraint[J]. , 2022,41(3): 597-606
2.LINTao,ZENGZhaofa,YUPing,ZHOUShuai,JIAOJia.Joint probability tomo graphy for gravity and its gradiometry data based on strata-source potential field[J]. , 2022,41(1): 186-197
3. YANG Bo,CAO Shu-jin,MAO Ya-jing,ZHOU Yong,ZHU Zi-qiang,CHEN Xin-yue. Optimal moving window for Euler deconvolution of gravity data[J]. , 2021,40(3): 689-696
4.CHENG Yi,LI Tong-lin,ZHANG Rong-zhe,ZHOU Shuai. Post mission error compensation method of
gravity gradiometry based on deep learning
[J]. , 2021,40(3): 671-679
5.YI Lin, WANG Ke, QIAN Jin-ju, WANG Guan, HONG Dan-yi.Inversion of water reserves change in Southwest China based on GRACE-FO gravity satellite data[J]. , 2020,39(3): 700-705
6.WANG Sen, WANG Chun-hui, ZHA En-lai, WENG Ai-hua.Application of comprehensive geophysical exploration model of coal mining goaf in Yangquan mining area[J]. , 2020,39(2): 415-421
7.LI Xiang-dong.An overview of hydromechanics in sedimentology[J]. , 2020,39(1): 45-55
8.ZHANG Zhong-yue, WAN Bo, PENG Hu, TIAN De-xin.Geophysical field characteristics and seismicity of Hunhe fault[J]. , 2020,39(1): 176-184
9.MA Guo-qing, LI Zong-rui, LI Li-li.Forward calculation formula of gravity anomaly in inclined steps[J]. , 2019,38(2): 454-460
10.LIU Hong-bo.Application of non-local mean filtering in gravity anomalous data processing[J]. , 2019,38(2): 461-469
11.GAO Tong, WANG Ze-kun, LI Li-li, MENG De-xin.Structural dip identification using gravity space derivative imaging technology[J]. , 2019,38(1): 241-246
12.JIA Shuai, WU Yan-gang, XIAO Feng, LI Hui.Indirect adjustment in adjustment of gravity base network[J]. , 2018,37(4): 1221-1225
13.XU Meng-long, YANG Ya-bin, WU Yan-gang.Zero-drift coefficient algorithm of gravimeter based on fuzzy weighted linear regression[J]. , 2018,37(3): 891-896
14.ZHOU Xue, YU Ping, WENG Ai-hua, CHEN Rui-ding.Parallel forward modelling algorithm with gravity and gravity gradient data based on MPI and OpenMP[J]. , 2018,37(3): 897-904
15.TIAN Ming-yang, WU Yan-gang, ZHANG Shuang, YAN Hong-qun, ZHANG Rui-sen.Potential field migration for imaging based on gravity and gravity gradient data[J]. , 2018,37(1): 218-223,308

Copyright by