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《Chinese Journal of Geophysics》 2017-12
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The study on the joint Euler deconvolution method of full tensor gravity data

ZHOU Wen-Yue;MA Guo-Qing;HOU Zhen-Long;QIN Peng-Bo;MENG Zhao-Hai;College of Geo-exploration Science and Technology,Jilin University;School of Resources and Civil Engineering,Northeastern University;Department of Mechatronic Engineering and Automation,National University of Defense Technology;Tianjin Navigation Instrument Research Institute;  
Gravitational Full Tensor Gradient(FTG)data acquired on airborne and marine platforms measure five independent tensor components that collectively describe a total gravity field.The components capture unique signature pattern which is related to specific attributes of target geology.The horizontal tensor components(T_(xx),T_(yy),T_(xy),T_(xz) and T_(yz))are commonly used to identify and map lineaments associated with structural or stratigraphic changes or target geometry in a survey area.The vertical tensor component T_(zz) is used to estimate depth.However,these components have traditionally been interpreted separately from one another and we often encounter the risk of missing key information.The full tensor Euler deconvolution(FTED)is developed from the z direction.Furthermore,Euler deconvolution combines the individual components of horizontal tensor and its gradients,vertical tensor and its gradients.The full tensor data is validly applied,and the convergence of the FTED results are faster than the conventional Euler deconvolution results.Finally,combining with the measured data of AIRFTG gravity in the Gulf of Mexico,we verify that the FTED method can effectively identify the boundary information of the cap-rock,which can provide reliable interpretation result for further study of the deep complex geology.
【Fund】: 国家重点研发计划课题(2017YFC0602203 2017YFC0601606);; 国家油气重大专项子任务(2016ZX05027-002-003);; 国家自然科学基金项目(41404089);; 吉林大学研究生创新基金资助项目(2017179)联合资助
【CateGory Index】: P631.1
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【Citations】
Chinese Journal Full-text Database 4 Hits
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【Co-citations】
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1 WANG Xusheng;ZENG Zhaofa;College of Geo-Exploration Science and Technology;;3D fast inversion of gravity data based on GPU[J];Global Geology;2018-02
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