Guo-xing Zhao, Yong-ting Wu, Yang Sun, Bin-bin Zhang, Xin Zhou, Feng-jun Wang
{"title":"由欧拉齐次方程导出的自动DEXP方法","authors":"Guo-xing Zhao, Yong-ting Wu, Yang Sun, Bin-bin Zhang, Xin Zhou, Feng-jun Wang","doi":"10.1007/s11770-022-0953-3","DOIUrl":null,"url":null,"abstract":"<div><p>The depth from extreme points (DEXP) method can be used for estimating source depths and providing a rough image as a starting model for inversion. However, the application of the DEXP method is limited by the lack of prior information regarding the structural index. Herein, we describe an automatic DEXP method derived from Euler’s Homogeneity equation, and we call it the Euler–DEXP method. We prove that its scaling field is independent of structural indices, and the scaling exponent is a constant for any potential field or its derivative. Therefore, we can simultaneously estimate source depths with different geometries in one DEXP image. The implementation of the Euler–DEXP method is fully automatic. The structural index can be subsequently determined by utilizing the estimated depth. This method has been tested using synthetic cases with single and multiple sources. All estimated solutions are in accordance with theoretical source parameters. We demonstrate the practicability of the Euler–DEXP method with the gravity field data of the Hastings Salt Dome. The results ultimately represent a better understanding of the geometry and depth of the salt dome.</p></div>","PeriodicalId":55500,"journal":{"name":"Applied Geophysics","volume":"19 4","pages":"572 - 579"},"PeriodicalIF":0.7000,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Automatic DEXP method derived from Euler’s Homogeneity equation\",\"authors\":\"Guo-xing Zhao, Yong-ting Wu, Yang Sun, Bin-bin Zhang, Xin Zhou, Feng-jun Wang\",\"doi\":\"10.1007/s11770-022-0953-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The depth from extreme points (DEXP) method can be used for estimating source depths and providing a rough image as a starting model for inversion. However, the application of the DEXP method is limited by the lack of prior information regarding the structural index. Herein, we describe an automatic DEXP method derived from Euler’s Homogeneity equation, and we call it the Euler–DEXP method. We prove that its scaling field is independent of structural indices, and the scaling exponent is a constant for any potential field or its derivative. Therefore, we can simultaneously estimate source depths with different geometries in one DEXP image. The implementation of the Euler–DEXP method is fully automatic. The structural index can be subsequently determined by utilizing the estimated depth. This method has been tested using synthetic cases with single and multiple sources. All estimated solutions are in accordance with theoretical source parameters. We demonstrate the practicability of the Euler–DEXP method with the gravity field data of the Hastings Salt Dome. The results ultimately represent a better understanding of the geometry and depth of the salt dome.</p></div>\",\"PeriodicalId\":55500,\"journal\":{\"name\":\"Applied Geophysics\",\"volume\":\"19 4\",\"pages\":\"572 - 579\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Geophysics\",\"FirstCategoryId\":\"1089\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11770-022-0953-3\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Geophysics","FirstCategoryId":"1089","ListUrlMain":"https://link.springer.com/article/10.1007/s11770-022-0953-3","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 1
摘要
极值点深度法(deep from extreme points, DEXP)可用于估计震源深度,并提供粗略图像作为反演的起始模型。然而,由于缺乏有关结构指数的先验信息,DEXP方法的应用受到限制。本文描述了一种由欧拉齐性方程导出的自动DEXP方法,我们称之为欧拉- DEXP方法。证明了其标度场与结构指标无关,且标度指数对于任何位场及其导数都是常数。因此,我们可以在一张DEXP图像中同时估计不同几何形状的源深度。欧拉- dexp方法的实现是全自动的。随后,可以利用估计的深度确定结构指标。这种方法已经用单一和多个来源的合成案例进行了测试。所有估计解都符合理论源参数。用黑斯廷斯盐丘重力场资料验证了Euler-DEXP方法的实用性。这些结果最终代表了对盐丘的几何形状和深度的更好理解。
Automatic DEXP method derived from Euler’s Homogeneity equation
The depth from extreme points (DEXP) method can be used for estimating source depths and providing a rough image as a starting model for inversion. However, the application of the DEXP method is limited by the lack of prior information regarding the structural index. Herein, we describe an automatic DEXP method derived from Euler’s Homogeneity equation, and we call it the Euler–DEXP method. We prove that its scaling field is independent of structural indices, and the scaling exponent is a constant for any potential field or its derivative. Therefore, we can simultaneously estimate source depths with different geometries in one DEXP image. The implementation of the Euler–DEXP method is fully automatic. The structural index can be subsequently determined by utilizing the estimated depth. This method has been tested using synthetic cases with single and multiple sources. All estimated solutions are in accordance with theoretical source parameters. We demonstrate the practicability of the Euler–DEXP method with the gravity field data of the Hastings Salt Dome. The results ultimately represent a better understanding of the geometry and depth of the salt dome.
期刊介绍:
The journal is designed to provide an academic realm for a broad blend of academic and industry papers to promote rapid communication and exchange of ideas between Chinese and world-wide geophysicists.
The publication covers the applications of geoscience, geophysics, and related disciplines in the fields of energy, resources, environment, disaster, engineering, information, military, and surveying.