Journal of Jilin University(Earth Science Edition) ›› 2020, Vol. 50 ›› Issue (4): 1197-1210.doi: 10.13278/j.cnki.jjuese.20190123

Previous Articles    

Correlation Imaging Method with Joint Multiple Gravity Gradiometry Data Based on Depth Weighting

Zheng Yujun1,2, Hou Zhenlong1,2, Gong Enpu1,2, Zhang Yongli1,2   

  1. 1. School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China;
    2. Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, China
  • Received:2019-06-20 Published:2020-07-29
  • Supported by:
    Supported by National Key R & D Program of China (2017YFC1503100), China Postdoctoral Science Foundation (2017M621151) and Fundamental Research Funds for the Central Universities (N180104020)

PDF (PC)

15339

Abstract: Aiming at the problem of low vertical resolution of correlation imaging in gravity exploration, the authors propose a correlation imaging method with joint multiple gravity gradiometry data based on depth weighting. Compared with gravity anomaly, the gravity gradiometry data have a higher signal-to-noise ratio, and contain more frequency information. Combined with multiple tensors of gravity gradiometry data, based on correlation imaging principle, a depth weighting function is introduced with the prior information. Using the theoretical model of the prism combination, the optimal gradiometry data group is determined, and the improvement of the vertical imaging results is verified by depth weighting function. Through dividing research area, the effect of depth weighting is further improved. The proposed method is also proved to be anti-noised. The method is applied to the measured gravity gradiometry data of Vinton Dome, and the results clearly show the location of the cap rock.

Key words: gravity gradiometry data, data combination, depth weighting, correlation imaging

CLC Number: 

  • P631.1
[1] Hou Zhenlong, Wei Xiaohui, Huang Danian. Fast Density Inversion Solution for Full Tensor Gravity Gradiometry Data[J]. Pure and Applied Geophysics, 2016, 173(2):509-523.
[2] Oruc B, Sertcelik I, Kafadar O, et al. Structural Interpretation of the Erzurum Basin, Eastern Turkey, Using Curvature Gravity, Gradient Tensor and Gravity Inversion of Basement Relief[J]. Journal of Applied Geophysics, 2013, 88(4):105-113.
[3] 袁园,黄大年,余青露.利用加强水平方向总水平导数对位场全张量数据进行边界识别[J].地球物理学报,2015,58(7):2556-2565. Yuan Yuan, Huang Danian, Yu Qinglu. Using Enhanced Directional Total Horizontal Derivatives to Detect the Edges of Potential-Field Full Tensor Data[J]. Chinese Journal of Geophysics, 2015, 58(7):2556-2565.
[4] 高秀鹤,黄大年,孙思源,等.重力梯度数据协克里金三维反演确定岩脉倾向[J].吉林大学学报(地球科学版),2017,47(2):589-596. Gao Xiuhe, Huang Danian, Sun Siyuan,et al. Identify the Dip Angle of the Dipping Dike Model Based on Cokriging Inversion of Gravity Gradient Data[J]. Journal of Jilin University (Earth Science Edition), 2017, 47(2):589-596.
[5] Patella D. Introduction to Ground Surface Self-Potential Tomography[J]. Geophysical Prospecting, 1997, 45(4):653-681.
[6] Mauriello P, Monna D, Patella D. 3D Geoelectric Tomography and Archaeological Applications[J]. Geophysical Prospecting, 1998, 46(5):543-570.
[7] Mauriello P, Patella D. Resistivity Anomaly Imaging by Probability Tomography[J]. Geophysical Prospecting, 1999, 47(3):411-429.
[8] Mauriello P, Patella D. Localization of Maximum Depth Gravity Anomaly Sources by a Distribution of Equivalent Point Masses[J]. Geophysics, 2001, 66(5):1431-1437.
[9] Iuliano T, Mauriello P, Patella D. Looking Inside Mount Vesuvius by Potential Fields Integrated Probability Tomographies[J]. Journal of Volcanology and Geothermal Research, 2002, 113(3):363-378.
[10] 王绪本,毛立峰,高永才.电磁导数场相关成像方法研究[J]. 成都理工大学学报(自然科学版),2004,31(6):679-684. Wang Xuben, Mao Lifeng, Gao Yongcai. Probability Tomography of Electromagnetic Field-Derivative Method[J]. Journal of Chengdu University of Technology, 2004, 31(6):679-684.
[11] 毛立峰,王绪本,高永才.大地电磁概率成像的效果评价[J]. 地球物理学报,2005,48(2):429-433. Mao Lifeng, Wang Xuben, Gao Yongcai. Appraisement on the MT Probability Temography[J]. Chinese Journal of Geopysics, 2005, 48(2):429-433.
[12] 郭良辉,孟小红,石磊.磁异常ΔT 三维相关成像[J]. 地球物学报,2010,53(2):435-441. Guo Lianghui, Meng Xiaohong, Shi Lei. 3D Correlation Imaging for Magnetic Anomaly ΔT Data[J]. Chinese Journal of Geophysics, 2010, 53(2):435-441.
[13] 郭良辉,孟小红,石磊,等.重力和重力梯度数据三维相关成像[J].地球物学报,2009,52(4):1098-1106. Guo Lianghui, Meng Xiaohong, Shi Lei, et al. 3-D Correlation Imaging for Gravity Gradiometry Data[J]. Chinese Journal of Geophysics, 2009, 52(4):1098-1106.
[14] 马国庆,杜晓娟,李丽丽.改进的位场相关成像方法[J]. 地球科学:中国地质大学学报,2013,38(5):1121-1127. Ma Guoqing, Du Xiaojuan, Li Lili. Improved Potential Field Correlation Imaging Method[J]. Earth Science:Journal of China University of Geosciences,2013,38(5):1121-1127.
[15] 石磊,郭良辉,孟小红. 磁总场异常垂直梯度三维相关成像[J]. 地球物理学进展,2012,27(4):1609- 1614. Shi Lei, Guo Lianghui, Meng Xiaohong. 3D Correlation Imaging of the Vertical Gradient of Magnetic Total Field Anomaly[J]. Progress in Geophys, 2012, 27(4):1609-1614.
[16] 侯振隆,王恩德.基于泰勒级数的重力异常数据快速相关成像[J]. 东北大学学报(自然科学版),2019,40(4):563-568. Hou Zhenlong, Wang Ende. Fast Probability Tomography of Gravity Anomaly Data Based on Taylor Series[J]. Journal of Northeastern University (Natural Science Edition), 2019, 40(4):563-568.
[17] Li Yaoguo, Oldenburg W D. 3-D Inversion of Magnetic Data[J]. Geophysics, 1996, 61(2):394-408.
[18] Federico Cella, Maurizio Fedi. Inversion of Potential Field Data Using the Structural Index as Weighting Function Rate Decay[J]. Geophysical Prospecting, 2012, 60(2):313-336.
[19] Commer M. Three-Dimensional Gravity Modeling and Focusing Inversion Using Rectangular Meshes[J]. Geophysical Prospecting, 2011, 59(5):966-979.
[20] Commer M, Newman G A, Williams K H, et al. 3D Induced-Polarization Data Inversion for Complex Resistivity[J]. Geophysics, 2011, 76(3):157-171.
[21] Chen Z, Meng X, Guo L, et al. GICUDA:A Parallel Program for 3D Correlation Imaging of Large Scale Gravity and Gravity Gradiometry Data on Graphics Processing Units with CUDA[J]. Computers & Geosciences, 2012, 46(5):119-128.
[22] Li Y, Oldenburg D W. 3-D Inversion of Gravity Data[J]. Geophysics, 1998, 63:109-119.
[23] Li Y. 3-D Inversion of Gravity Gradiometer Data[C]//SEG Int'l Exposition and Annual Meeting. San Antonio:[s. n.], 2001:1470-1473.
[24] 秦朋波. 重力和重力梯度数据联合反演方法研究[D]. 长春:吉林大学,2016. Qin Pengbo. A Study on Integrated Gravity and Gravity Gradient Data in Inversion[D]. Changchun:Jilin University, 2016.
[25] Ennen C. Mapping Gas-Charged Fault Blocks Around the Vinton Salt Dome, Louisiana Using Gravity Gradiometry Data[D].Houston:University of Houston, 2012.
[26] Ennen C, Hall S. Structural Mapping of the Vinton Salt Dome, Louisiana, Using Gravity Gradiometry Data[C]//2011 SEG Annual Meeting.[S. l.]:Society of Exploration Geophysicists, 2011:15.
[27] 侯振隆. 重力全张量梯度数据的并行反演算法研究及应用[D]. 长春:吉林大学,2016. Hou Zhenlong. Research and Application of the Parallel Inversion Algorithms Based on the Full Tensor Gravity Gradiometry Data[D].Changchun:Jilin University, 2016.
[28] 耿美霞. 基于地质统计学的重力梯度全张量数据三维反演方法研究[D]. 长春:吉林大学,2015. Geng Meixia. The Study of 3D Inversion of Full Tensor Gravity Gradiometry Data Based on Geostatistics Method[D]. Changchun:Jilin University, 2015.
[29] Geng M, Huang D, Yang Q, et al. 3D Inversion of Airborne Gravity Gradiometry Data Using Cokriging[J]. Geophysics, 2014, 79(4):G37-G47.
[30] Thompson S A, Eichelberger O H. Vinton Salt Dome, Calcasieu Parish, Louisiana[J]. AAPG Bulletin, 1928, 12(4):385-394.
[31] Marfurt K J, Zhou H W, Sullivan E C. Development and Calibration of New 3-D Vector VSP Imaging Technology:Vinton Salt Dome, LA[R]. Texas:University of Houston, 2004.
[32] Oliveira V C, Barbosa V C F.3-D Radial Gravity Gradient Inversion[J]. Geophysical Journal International, 2013, 195(2):883-902.
[1] Sun Yong, Yu Ping, Wang Xinyue, Huang Danian. Correction of Self-Gradient in Airborne Gravity Gradient Measurement Based on Multiple Linear Regression [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(3): 883-894.
[2] Liu Zhaojun, Liu Rong, Sun Pingchang, Meng Qingtao, Hu Fei. Oil Shale Characteristics and Distribution in Typical Basins of China [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(2): 313-325.
[3] Liu Hongbo, Wu Zhiguo, Zheng Xiaocheng, Wang Enqiang, Wang Yumin, Zhang Ning. Gravity Field Characteristics of Yishu Fault Zone in Laizhou Bay [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(5): 1438-1447.
[4] Zhang Yachen, Liu Cai, Chen Guangyu. Normalized Total Gradient Method Based on Hartley Transform [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(3): 830-836.
[5] Wang Xinyue, Liu Jie, Sun Pengyong, Chen Ke, Li Jun. Rapid Detection of Urban Underground Cavity Based on Vehicle Gravity Measurement Platform [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(3): 837-844.
[6] Hao Mengcheng, Zhang Fengxu, Du Wei, Li Yinfei, Ren Langning. Application of Chebyshev Low-Pass Filter in Calculating Derivative of Potential Field Data in Wavenumber Domain [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(2): 559-568.
[7] Liang Shengxian. A Self-Constrained 3D Inversion and Efficient Solution of Gravity Data Based on Cross-Correlation Coefficient [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(5): 1473-1482.
[8] Ma Guoqing, Ming Yanbo, Huang Danian. Distribution Characteristics Study of Cenozoic Basement of Lishui-Jiaojiang Sag Based on Gravity and Magnetic Anomalies [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(5): 1493-1500.
[9] Fan Diao, Li Shanshan, Meng Shuyu, Xing Zhibin, Feng Jinkai. Inversion of Mariana Trench Seabed Terrain Using Gravity Anomalies [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(5): 1483-1492.
[10] Zheng Guolei, Xu Xinxue, Li Shibin, Yuan Hang, Ma Wei, Ye Qing. Inversion of Gravity Data in Tianjin [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(4): 1221-1230.
[11] Liang Wenjing, Feng Xuan, Liu Cai, Nilot Enhedelihai, Zhang Minghe, Liang Shuaishuai. Development of Multiple-Input and Multiple-Output Polarimetric Stepped-Frequency Ground Penetrating Radar System [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(2): 483-490.
[12] Zeng Zhaofa, Huo Zhijun, Li Wenben, Li Jing, Zhao Xueyu, He Rongqin. 3D Vector Finite-Element Airborne Electromagnetic Modelling in an Arbitrary Anisotropic Medium [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(2): 433-444.
[13] Wang Taihan, Huang Danian, Ma Guoqing, Li Ye, Lin Song. Three-Dimensional Fast Gravity Inversion Using Parallel Preconditioned Algorithm [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(2): 384-393.
[14] Du Wei, Xu Jiashu, Wu Yangang, Hao Mengcheng. Tikhonov Regularization Iteration Method for High-Order Vertical Derivatives of Potential Field [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(2): 394-401.
[15] Tan Xiaodi, Huang Danian, Li Lili, Ma Guoqing, Zhang Dailei. Application of Wavelet Transform Combined with Power Transform Method in Edge Detection [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(2): 420-432.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Earth Science Edition), All Rights Reserved.
Tel: +86-431-88502374；13756165364　E-mail: xuebao1956@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd