Results 171 to 180 of about 3,297,474 (208)

GPR-FWI-Py: Open-source Python software for multi-scale regularized full waveform inversion in Ground Penetrating Radar using random excitation sources

Computers and Geosciences
Xu Meng, Xiangyu Wang, Hai Liu
exaly   +2 more sources

New Zealand 3D Full Waveform Inversion (NZ3D-FWI) 2017-2018 field acquisition report

2019
This report documents the acquisition and archiving of a major 3D active-source and passive seismic imaging experiment, NZ3D-FWI. The NZ3D-FWI project aims to image the Hikurangi subduction zone (upper and lower plates and plate boundary fault) along the north Hikurangi margin where shallow slow slip events occur.
Bell, R., Gray, M., Morgan, J., Warner, M., Fagereng, A., McNeill, L., Jacobs, K., Henrys, S., Fry, B., Watkins, S., Lacey, H., Black, J., Lane, V., Daly, D., Lindsay, D., Bangs, N., Arai, R., Kodaira, S., NZ3D-FWI team   +18 more
openaire   +3 more sources

Hybrid UFNO-FWI: Enhancing full-waveform inversion through iterative neural networks

International Meeting for Applied Geoscience & Energy
Full waveform inversion (FWI) is a powerful technique employed to obtain a high-resolution subsurface velocity model from the complete seismic waveform data. However, its computational cost, particularly when incorporating Hessian information, remains a significant challenge. In this work, we propose a novel hybrid approach that integrates UNet Fourier
Caio Leāo, Reynam C. Pestana, Daniel E. Revelo, Diego F. Barrera   +3 more
openaire   +1 more source

An adaptive migration image-based CNN-based full waveform inversion (AIC-FWI)

International Meeting for Applied Geoscience & Energy
We propose adaptive migration image-based CNN-FWI (AICFWI), an updated version of adaptive-feedback CNN-based reflection-waveform inversion (CNN-RWI), which trains a convolutional neural network (CNN) using the original velocity model and RTM image to predict the true velocity model.
Yulang Wu, Hongyu Sun, Yapeng Tian, George A. McMechan, Jing Zhou   +4 more
openaire   +1 more source

FWI-WF: Robust full-waveform inversion using hybrid Wasserstein-1 and Fourier metrics

Geophysics
ABSTRACT The performance of full-waveform inversion (FWI) in constructing high-resolution subsurface models is closely related to the design of mismatch functions. The least-squares norm (ℓ2) is commonly used; however, it is prone to local minima when high-quality initial guess and low-frequency data are unavailable. The Wasserstein-1
Linrong Wang, Fan Min, Shulin Pan, Guojie Song, Leting Tan, Ke Wang   +5 more
openaire   +1 more source

Non-linear full-waveform inversion (FWI-res) of time-lapse seismic data on a higher-resolution geological and petrophysical model, Book Cliffs (Utah, USA)

International Meeting for Applied Geoscience & Energy, 2015
Summary A new geological and petrophysical model has been built based on the Book Cliffs (Utah, USA). This new model has more detail and a more complicated architecture, than previously reported, and is based on sequence stratigraphic principles and rock physics properties. Two different fluid models were constructed
Runhai Feng*, Stefan M. Luthi, Dries Gisolf, Siddharth Sharma   +3 more
openaire   +1 more source

FWI Imaging: Full-wavefield imaging through full-waveform inversion

SEG Technical Program Expanded Abstracts 2020, 2020
Zhigang Zhang, Zedong Wu, Zhiyuan Wei, Jiawei Mei, Rongxin Huang, Ping Wang   +5 more
openaire   +1 more source

Comparative Study of Full-Waveform Inversion (FWI) Approaches for 4D Seismic Monitoring in Complex Acquisition Scenarios

19th Congress of the Brazilian Geophysical Society - Proceedings
This study analyzes and compares different strategies for generating responses related to full-waveform inversion (FWI) in time-lapse (4D seismic) analysis. Five distinct strategies are concisely presented: parallel , sequential, sequential difference cross-updating, central difference and joint inversion.
Pablo Machado Barros, André Bulcão, Bruno Pereira Dias, Claiton Pimentel de Oliveira, Djalma Manoel Soares Filho, Gustavo Catão Alves, Tiago Ilipronti Girardi, Ubiratan Jose Furtado, Luis Fernando Mendes Cury   +8 more
openaire   +1 more source

Optimized Arine Survey Design for Full Waveform Inversion (FWI)

Third EAGE Conference on Offshore Exploration and Development in Mexico, 2021
openaire   +1 more source

Adjoint state anelastic full waveform inversion (Q-FWI) for CO2 saturation monitoring: Leveraging joint velocity and attenuation attributes

International Meeting for Applied Geoscience & Energy
Carbon Capture and Storage (CCS) is a vital tool in combating carbon emissions and addressing climate change. Precisely monitoring subsurface CO2 saturation is essential to ensure long-term storage security and understand plume migration. However, this task remains challenging due to complex fluidrock interactions, limited experimental data, and the ...
Sohini Dasgupta, Yujiang Xie, Mrinal K. Sen, Bhargav Boddupalli   +3 more
openaire   +1 more source