Encoder–Decoder Architecture for 3D Seismic Inversion

Encoder–Decoder Architecture for 3D Seismic Inversion

Inverting seismic data to build 3D geological structures is a challenging task due to the overwhelming amount of acquired seismic data, and the very-high computational load due to iterative numerical solutions of the wave equation, as required by industry-standard tools such as Full Waveform Inversi...

Full description

Bibliographic Details
Main Authors:	Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Sensors
Subjects:	3D reconstruction seismic inversion seismic velocity inverse problems deep learning transfer learning
Online Access:	https://www.mdpi.com/1424-8220/23/1/61

Similar Items

Learning-Based Seismic Velocity Inversion with Synthetic and Field Data
by: Stuart Farris, et al.
Published: (2023-10-01)

Seismic velocity structure of the Guerrero gap, Mexico
by: Diana Comte, et al.
Published: (2006-04-01)

Deep Learning with Adaptive Attention for Seismic Velocity Inversion
by: Fangda Li, et al.
Published: (2022-08-01)

A Physics-Based Neural-Network Way to Perform Seismic Full Waveform Inversion
by: Yuxiao Ren, et al.
Published: (2020-01-01)

Full waveform inversion with combined misfit functions and application in land seismic data
by: Jianyong Song, et al.
Published: (2023-10-01)

A method of seismic meme inversion and its application
by: Yanhu CHEN, et al.
Published: (2020-12-01)

Constrained Full Waveform Inversion for Borehole Multicomponent Seismic Data
by: Marwan Charara, et al.
Published: (2019-01-01)

An Application of Genetic Algorithms in Seismic Refraction Interpretation
by: Chaiwat LERSVIRIYANANTAKUL, et al.
Published: (2011-11-01)

Deep preconditioners and their application to seismic wavefield processing
by: Matteo Ravasi
Published: (2022-09-01)

Comparing Geostatistical Seismic Inversion Based on Spectral Simulation with Deterministic Inversion: A Case Study
by: Hamid Reza Ansari, et al.
Published: (2014-01-01)

Data-Driven Seismic Impedance Inversion Based on Multi-Scale Strategy
by: Guang Zhu, et al.
Published: (2022-11-01)

Transformer and Convolutional Hybrid Neural Network for Seismic Impedance Inversion
by: Chunyu Ning, et al.
Published: (2024-01-01)

High resolution pre-stack seismic inversion using few-shot learning
by: Ting Chen, et al.
Published: (2022-12-01)

Mathematics of multidimensional seismic imaging, migration, and inversion
by: 441124 Bleistein, Norman, et al.
Published: (2001)

Vertical Seismic-Profile Data Local Full-Waveform Inversion Based on Marchenko Redatuming
by: Kai Li, et al.
Published: (2023-03-01)

Editorial: The state-of-art techniques of seismic imaging for the deep and ultra-deep hydrocarbon reservoirs
by: Jidong Yang, et al.
Published: (2022-09-01)

Walkaway vertical seismic profiling first-arrival traveltime tomography with velocity structure constraints
by: Cai Lu, et al.
Published: (2023-12-01)

A Seismic Inversion Method Based on Multi-Scale Super-Asymmetric Cycle-JNet Network
by: Mingming Tang, et al.
Published: (2023-12-01)

THE DIRECT-INVERSION DECONVOLUTION AND ITS APPLICATION IN SEISMIC DATA
by: Iktri Madrinovella, et al.
Published: (2022-03-01)

Improving Seismic Inversion Robustness via Deformed Jackson Gaussian
by: Suzane A. Silva, et al.
Published: (2021-08-01)

Recent progress on full waveform inversion
by: Hejun Zhu, et al.
Published: (2023-05-01)

Seismic Velocity Structure Beneath the Tofino Forearc Basin Using Full Waveform Inversion
by: Subbarao Yelisetti, et al.
Published: (2021-05-01)

A Sequential Iterative Deep Learning Seismic Blind High-Resolution Inversion
by: Hongling Chen, et al.
Published: (2021-01-01)

Analysis of Deep Learning Neural Networks for Seismic Impedance Inversion: A Benchmark Study
by: Caique Rodrigues Marques, et al.
Published: (2022-10-01)

Depth model building by constrained magnetotelluric inversion
by: S. Morandi, et al.
Published: (2002-06-01)

Seismic Velocity Inversion via Physical Embedding Recurrent Neural Networks (RNN)
by: Cai Lu, et al.
Published: (2023-12-01)

Multisource Seismic Full Waveform Inversion of Metal Ore Bodies
by: Fengjiao Zhang, et al.
Published: (2021-12-01)

Semi-Supervised Learning for Seismic Impedance Inversion Using Generative Adversarial Networks
by: Bangyu Wu, et al.
Published: (2021-02-01)

Simultaneous prestack seismic inversion in a carbonate reservoir
by: Rafael Amaral Cataldo, et al.

Application of Seismic Waveform Indicator Inversion in the Depth Domain: A Case Study of Pre-Salt Thin Carbonate Reservoir Prediction
by: Jinjin Hao, et al.
Published: (2023-03-01)

Seismic refraction data inversion via jellyfish search algorithm for bedrock characterization in dam sites
by: Rashed Poormirzaee
Published: (2022-10-01)

Prestack Seismic Inversion via Nonconvex L<sub>1-2</sub> Regularization
by: Wenliang Nie, et al.
Published: (2021-12-01)

Seismic Inversion for the Calculation of Velocities Using the Generalized Inverse Linear Matrix, the Wave Equation, and a Non-Reflective-Boundaries Condition
by: Alejandro Duitama Leal, et al.
Published: (2020-10-01)

Prediction of Reflection Seismic Low-Frequency Components of Acoustic Impedance Using Deep Learning
by: Lian Jiang, et al.
Published: (2023-09-01)

An Application of Elastic-Net Regularized Linear Inverse Problem in Seismic Data Inversion
by: Ronghuo Dai, et al.
Published: (2023-01-01)

Evidence for Stress Localization Caused by Lithospheric Heterogeneity From Seismic Attenuation
by: Zhao Zhu, et al.
Published: (2021-11-01)

Synthetic Data Generation for Deep Learning-Based Inversion for Velocity Model Building
by: Apostolos Parasyris, et al.
Published: (2023-06-01)

Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis
by: Moslem Moradi, et al.
Published: (2015-06-01)

Tsallis Entropy, Likelihood, and the Robust Seismic Inversion
by: Igo Pedro de Lima, et al.
Published: (2020-04-01)

Seismic Impedance Inversion Using a Joint Deep Learning Model Based on Convolutional Neural Network and Transformer
by: Jingcheng Fu, et al.
Published: (2023-01-01)