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Self-Constrained Euler Deconvolution Using Potential Field Data of Different Altitudes
Zhou, Wenna2; Nan, Zeyu3; Li, Jiyan1
刊名PURE AND APPLIED GEOPHYSICS
2016-06
卷号173期号:6页码:2073-2085
关键词Euler deconvolution Gravity data Magnetic data Full tensor gradient
ISSN号0033-4553
DOI10.1007/s00024-016-1254-7
英文摘要Euler deconvolution has been developed as almost the most common tool in potential field data semi-automatic interpretation. The structural index (SI) is a main determining factor of the quality of depth estimation. In this paper, we first present an improved Euler deconvolution method to eliminate the influence of SI using potential field data of different altitudes. The different altitudes data can be obtained by the upward continuation or can be directly obtained by the airborne measurement realization. Euler deconvolution at different altitudes of a certain range has very similar calculation equation. Therefore, the ratio of Euler equations of two different altitudes can be calculated to discard the SI. Thus, the depth and location of geologic source can be directly calculated using the improved Euler deconvolution without any prior information. Particularly, the noise influence can be decreased using the upward continuation of different altitudes. The new method is called self-constrained Euler deconvolution (SED). Subsequently, based on the SED algorithm, we deduce the full tensor gradient (FTG) calculation form of the new improved method. As we all know, using multi-components data of FTG have added advantages in data interpretation. The FTG form is composed by x-, y- and z-directional components. Due to the using more components, the FTG form can get more accurate results and more information in detail. The proposed modification method is tested using different synthetic models, and the satisfactory results are obtained. Finally, we applied the new approach to Bishop model magnetic data and real gravity data. All the results demonstrate that the new approach is utility tool to interpret the potential field and full tensor gradient data.
资助项目National Natural Science Foundation of China[41172163] ; National Natural Science Foundation of China[41371033]
WOS研究方向Geochemistry & Geophysics
语种英语
出版者SPRINGER BASEL AG
WOS记录号WOS:000377722800014
状态已发表
内容类型期刊论文
源URL[http://119.78.100.223/handle/2XXMBERH/33689]  
专题石油化工学院
通讯作者Zhou, Wenna
作者单位1.Lanzhou Univ Technol, Coll Petrochem Technol, Lanzhou 730050, Gansu, Peoples R China
2.Lanzhou Univ, Sch Earth Sci, Key Lab Mineral Resources Western China Gansu Pro, Lanzhou 730000, Gansu, Peoples R China
3.SINOPEC, Explorat & Prod Res Inst, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Zhou, Wenna,Nan, Zeyu,Li, Jiyan. Self-Constrained Euler Deconvolution Using Potential Field Data of Different Altitudes[J]. PURE AND APPLIED GEOPHYSICS,2016,173(6):2073-2085.
APA Zhou, Wenna,Nan, Zeyu,&Li, Jiyan.(2016).Self-Constrained Euler Deconvolution Using Potential Field Data of Different Altitudes.PURE AND APPLIED GEOPHYSICS,173(6),2073-2085.
MLA Zhou, Wenna,et al."Self-Constrained Euler Deconvolution Using Potential Field Data of Different Altitudes".PURE AND APPLIED GEOPHYSICS 173.6(2016):2073-2085.
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