Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows
نویسندگان
چکیده
Seismic inversion is a fundamental tool in geophysical analysis, providing window into Earth. In particular, it enables the reconstruction of large-scale subsurface Earth models for hydrocarbon exploration, mining, earthquake shallow hazard assessment, and other tasks.
منابع مشابه
Deep Convolutional Framelets: A General Deep Learning for Inverse Problems
Recently, deep learning approaches with various network architectures have achieved significant performance improvement over existing iterative reconstruction methods in various imaging problems. However, it is still unclear why these deep learning architectures work for specific inverse problems. Moreover, in contrast to the usual evolution of signal processing theory around the classical theo...
متن کاملReduced Complexity Regularization of Geophysical Inverse Problems
Shuchin Aeron Department of Electrical Engineering
متن کاملthe algorithm for solving the inverse numerical range problem
برد عددی ماتریس مربعی a را با w(a) نشان داده و به این صورت تعریف می کنیم w(a)={x8ax:x ?s1} ، که در آن s1 گوی واحد است. در سال 2009، راسل کاردن مساله برد عددی معکوس را به این صورت مطرح کرده است : برای نقطه z?w(a)، بردار x?s1 را به گونه ای می یابیم که z=x*ax، در این پایان نامه ، الگوریتمی برای حل مساله برد عددی معکوس ارانه می دهیم.
15 صفحه اولAutomatic differentiation in geophysical inverse problems
S U M M A R Y Automatic differentiation (AD) is the technique whereby output variables of a computer code evaluating any complicated function (e.g. the solution to a differential equation) can be differentiated with respect to the input variables. Often AD tools take the form of source to source translators and produce computer code without the need for deriving and hand coding of explicit math...
متن کاملMonte Carlo Methods in Geophysical Inverse Problems
[1] Monte Carlo inversion techniques were first used by Earth scientists more than 30 years ago. Since that time they have been applied to a wide range of problems, from the inversion of free oscillation data for whole Earth seismic structure to studies at the meter-scale lengths encountered in exploration seismology. This paper traces the development and application of Monte Carlo methods for ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Signal Processing Magazine
سال: 2021
ISSN: ['1053-5888', '1558-0792']
DOI: https://doi.org/10.1109/msp.2020.3037429