{"title":"Migration Velocity Analysis Using a Ray Method Asymptotics of\nthe Double Square Root Equation","authors":"N. N. Shilov, A. A. Duchkov","doi":"10.1134/S1990478924010137","DOIUrl":null,"url":null,"abstract":"<p> Seismic images of subsurface structures are the most valuable outcome of seismic data\nprocessing. The image quality is strongly affected by the accuracy of background velocity model.\nIn this paper, we develop a gradient-descent velocity update algorithm based on our original\nhigh-frequency asymptotics of the Double Square Root equation, i.e., a special one-way\napproximation of the wave equation describing single-scattered wave field only. We propose a loss\nfunction consistent with widely adopted imaging condition and derive equations for its gradient\ncomputation. We test our method on noise-free synthetic datasets in 2D settings.\n</p>","PeriodicalId":607,"journal":{"name":"Journal of Applied and Industrial Mathematics","volume":"18 1","pages":"150 - 166"},"PeriodicalIF":0.5800,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied and Industrial Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1134/S1990478924010137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
Seismic images of subsurface structures are the most valuable outcome of seismic data
processing. The image quality is strongly affected by the accuracy of background velocity model.
In this paper, we develop a gradient-descent velocity update algorithm based on our original
high-frequency asymptotics of the Double Square Root equation, i.e., a special one-way
approximation of the wave equation describing single-scattered wave field only. We propose a loss
function consistent with widely adopted imaging condition and derive equations for its gradient
computation. We test our method on noise-free synthetic datasets in 2D settings.
期刊介绍:
Journal of Applied and Industrial Mathematics is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.