Results 41 to 50 of about 2,936 (205)
Using image warping for time-lapse image domain wavefield tomography [PDF]
, 2013 Time-lapse seismic data are widely used for monitoring subsurface changes. A quantitative assessment of how reservoir properties have changed allows for better interpretation of fluid substitution and fluid migration during processes such as oil and gas ...
Fehler, Mike, Malcolm, Alison, Yang, Di
core +1 more source
Vertical Seismic-Profile Data Local Full-Waveform Inversion Based on Marchenko Redatuming
Applied Sciences, 2023 Local full-waveform inversion (FWI) methods use redatumed seismic responses of virtual receivers within the subsurface to build the local objective function based on the convolution-type representation theorem.
Kai Li +5 more
doaj +1 more source
Double-difference waveform inversion: Feasibility and robustness study with pressure data [PDF]
, 2015 Time-lapse seismic data are widely used to monitor reservoir changes. Qualitative comparisons between baseline and monitor data sets or image volumes provide information about fluid and pressure effects within the reservoir during production. However, to
Fehler, Michael +5 more
core +2 more sources
Remote Sensing, 2023 The multi-parameter full waveform inversion (FWI) that integrates velocity and density can make full use of the kinematic and dynamic information of the measured data to reconstruct the underground model.
Deshan Feng +5 more
doaj +1 more source
Jurnal Geofisika, 2021 Kandungan seismik frekuensi rendah sangat berperan penting terhadap hasil inversi pada pemodelan Full Waveform Inversion(FWI). Kehilangan frekuensi rendah dari data seismik akan membuat model akhir FWI sulit untuk konvergen. Penelitian ini melakukan ekstrapolasi frekuensi rendah dengan menggunakan deep learning.
Ekkal Dinanto +2 more
openaire +1 more source
A numerically exact local solver applied to salt boundary inversion in seismic full-waveform inversion [PDF]
, 2016 In a set of problems ranging from 4-D seismic to salt boundary estimation, updates to the velocity model often have a highly localized nature. Numerical techniques for these applications such as full-waveform inversion (FWI) require an estimate of the ...
Lewis, Winston +2 more
core +2 more sources
Neural network with signal parameters featuring for near‐surface velocity model building
Near Surface Geophysics, EarlyView.Abstract This study presents a method that integrates spectral recomposition (SR) with a neural network to improve near‐surface seismic analysis. The approach incorporates SR‐derived wavelet‐timing attributes into a fully convolutional network (FCN) to enhance the characterization of shallow subsurface structures. Field evaluation was conducted using S‐
Nelson Ricardo Coelho Flores Zuniga
wiley +1 more source
Frontiers in Earth Science, 2022 To better interpret the subsurface structures and characterize the reservoir, a depth model quantifying P-wave velocity together with additional rock’s physical parameters such as density, the S-wave velocity, and anisotropy is always preferred by ...
Zhonghan Liu +2 more
doaj +1 more source
A short note on rank-2 relaxation for waveform inversion [PDF]
, 2018 This note is a first attempt to perform waveform inversion by utilizing recent developments in semidefinite relaxations for polynomial equations to mitigate non-convexity. The approach consists in reformulating the inverse problem as a set of constraints
Cosse, Augustin M. +2 more
core +1 more source
Automated Three‐Dimensional Reflection Traveltime Modelling to Extract 3D Dipping Layer Geometries
Geophysical Prospecting, Volume 74, Issue 4, May 2026.ABSTRACT Steep geological structures are critical for improved understanding of tectonic processes and fluid circulation, particularly in crystalline settings. However, accurately determining their geometry at depth remains a challenge for conventional 2D surveys.
Samuel Zappalá +2 more
wiley +1 more source