D. J. Verschuur
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View article: Recursive interferometric surface-wave suppression for improved reflection imaging
Recursive interferometric surface-wave suppression for improved reflection imaging Open
SUMMARY High-resolution seismic reflections are essential for imaging and monitoring applications. In seismic land surveys using sources and receivers at the surface, surface waves often dominate, masking the reflections. In this study, we…
View article: Improved One‐Way Reflection Waveform Inversion and Strategies for Optimal Offset Selection
Improved One‐Way Reflection Waveform Inversion and Strategies for Optimal Offset Selection Open
Conventional reflection waveform inversion solves a two‐parameter seismic inverse problem alternately for subsurface reflectivity and acoustic background velocity as the model parameters. It seeks to reconstruct a low‐wavenumber velocity m…
View article: Including converted waves using Shuey’s approximation in elastic full-wavefield migration
Including converted waves using Shuey’s approximation in elastic full-wavefield migration Open
SUMMARY The phenomenon of elastic wave conversions, where acoustic, pressure (P-) waves are converted to elastic, shear (S-) waves and vice-versa, is commonly disregarded in seismic imaging. This can lead to lower quality images in regions…
View article: Application of Marchenko‐Based Isolation to a Land S‐Wave Seismic Dataset
Application of Marchenko‐Based Isolation to a Land S‐Wave Seismic Dataset Open
The overburden structures often can distort the responses of the target region in seismic data, especially in land datasets. Ideally, all effects of the overburden and underburden structures should be removed, leaving only the responses of…
View article: Discretization of small‐scale, stratigraphic heterogeneities and its impact on the seismic response: Lessons from the application of process‐based modelling
Discretization of small‐scale, stratigraphic heterogeneities and its impact on the seismic response: Lessons from the application of process‐based modelling Open
Reducing the uncertainty of reservoir characterization requires to better identify the small‐scale structures of the subsurface from the available data. Studying the seismic response of meter‐scale, stratigraphic heterogeneities typically …
View article: Extending Shuey’s approximation using Taylor expansions for forward and inverse modelling
Extending Shuey’s approximation using Taylor expansions for forward and inverse modelling Open
SUMMARY As seismic imaging moves towards the imaging of more complex media, properly modelling elastic effects in the subsurface is becoming of increasing interest. In this context, elastic wave conversion, where acoustic, pressure (P-) wa…
View article: Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination
Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination Open
In recent years, deep learning (DL) has emerged as a promising alternative approach for various seismic processing tasks, including primary estimation (or multiple elimination), a crucial step for accurate subsurface imaging. In geophysics…
View article: One-way reflection waveform inversion with depth-dependent gradient pre-conditioning
One-way reflection waveform inversion with depth-dependent gradient pre-conditioning Open
SUMMARY Reflection waveform inversion (RWI) is a technique that uses pure reflection data to estimate subsurface background velocity, relying on evolving seismic images. Conventional RWI operates in a cyclic workflow, with two key componen…
View article: Recursive Interferometric Surface-wave Suppression For Improved Reflection Imaging
Recursive Interferometric Surface-wave Suppression For Improved Reflection Imaging Open
High-resolution seismic reflections are essential for imaging and monitoring applications. In seismic land surveys using sources and receivers at the surface, surface waves often dominate, masking the reflections. In this study, we demonst…
View article: Fiber optic shape-sensing, considerations for geophysical applications
Fiber optic shape-sensing, considerations for geophysical applications Open
The emergent technology of Fiber Optic Shape Sensing (FOSS) allows remote and instantaneous monitoring of the path taken by a structure or instrument. As this technology is an important component in medical instruments, robotics and civil …
View article: An approach to performance portability through generic programming
An approach to performance portability through generic programming Open
The expanding hardware diversity in high performance computing adds enormous complexity to scientific software development. Developers who aim to write maintainable software have two options: 1) To use a so-called data locality abstraction…
View article: Focal deblending: Marine data processing experiences
Focal deblending: Marine data processing experiences Open
In contrast to conventional acquisition practices, simultaneous source acquisition allows for overlapping wavefields to be recorded. Relaxing the shot schedule in this manner has certain advantages, such as allowing for faster acquisition …
View article: Application of virtual seismology to DAS data in Groningen
Application of virtual seismology to DAS data in Groningen Open
In this report we investigate whether and under what conditions virtual seismology via the acoustic Marchenko method can be applied to DAS data from a survey in the province of Groningen, The Netherlands. Virtual seismology allows to retri…
View article: Low-rank-based residual statics estimation and correction
Low-rank-based residual statics estimation and correction Open
Surface consistency forms the basis for short-wavelength statics estimation. When raypaths in the near surface diverge from a normal incidence or when the normal moveout (NMO) velocity is inaccurate, surface-consistent methods may fail to …
View article: High-Resolution One-Way Reflection Waveform Inversion
High-Resolution One-Way Reflection Waveform Inversion Open
Reflection waveform inversion (RWI) is a method that relies on primary pure reflection data to recover the subsurface background velocity based on the associated evolving seismic images. Background velocity updates estimated by conventiona…
View article: Geologic stratigraphic scenario testing via deep learning: towards imaging beyond seismic resolution
Geologic stratigraphic scenario testing via deep learning: towards imaging beyond seismic resolution Open
In the process of seismic subsurface imaging, there is no acceptable forward model reflecting the AVO response in a laterally inhomogeneous medium for reservoir characterization. This means that even when inversion is performed in full wav…
View article: Towards 3D near-surface correction without NMO – A rank-based approach
Towards 3D near-surface correction without NMO – A rank-based approach Open
To avoid multiple iterations of normal moveout (NMO) velocity estimation followed by short-wavelength statics estimation usually performed on land data, and to also improve the accuracy and computational efficiency of the latter, a low-ran…
View article: Seismic data interpolation using an anti-over-fitting mixed-scale dense convolutional neural network
Seismic data interpolation using an anti-over-fitting mixed-scale dense convolutional neural network Open
Seismic data interpolation is a topic well suited for deep learning (DL) applications. Scaling operation-based DL neural networks, e.g., U-Net, have been popular since its booming development in the field of seismic data processing. Althou…
View article: Full wavefield migration based on eigen-decomposition propagation operators
Full wavefield migration based on eigen-decomposition propagation operators Open
Seismic imaging is crucial for subsurface exploration and monitoring, with a focus on deep and complex structures. Seismic wave migration solves the wave equation, and an accurate propagator is essential. Full Wavefield Modeling (FWMod) wa…
View article: An effective scheme of joint migration inversion in the pseudo‐time domain
An effective scheme of joint migration inversion in the pseudo‐time domain Open
Traditional full‐waveform inversion is a non‐linear and ill‐posed inversion problem. To reduce the non‐linearity of it, joint migration inversion (joint migration inversion) was proposed as an alternative. Joint migration inversion tries t…
View article: Localizing weak microseismic events using transfer learning with a deep neural network
Localizing weak microseismic events using transfer learning with a deep neural network Open
Retrieving accurate microseismic source locations induced by hydraulic‐fracturing operations is an important step to gain insights into the hydraulically stimulated reservoir volume. Recently, deep neural networks have been proposed that d…
View article: Seismic inversion with deep learning
Seismic inversion with deep learning Open
This article investigates bypassing the inversion steps involved in a standard litho-type classification pipeline and performing the litho-type classification directly from imaged seismic data. We consider a set of deep learning methods th…
View article: Automated Seismic Acquisition Geometry Design for Optimized Illumination at the Target: A Linearized Approach
Automated Seismic Acquisition Geometry Design for Optimized Illumination at the Target: A Linearized Approach Open
In seismic exploration methods, imperfect spatial sampling at the surface causes a lack of illumination at the target in the subsurface. The hampered image quality at the target area of interest causes uncertainties in reservoir monitoring…
View article: Teaching a hands-on course during corona lockdown: from problems to opportunities
Teaching a hands-on course during corona lockdown: from problems to opportunities Open
Teaching a hands- and minds-on course, in which feedback is essential in order to learn, is difficult, especially in times of COVID-19 where student progression cannot be monitored directly. During the lockdown period, the workshops of an …
View article: Imaging with surface-related multiples to overcome large acquisition gaps
Imaging with surface-related multiples to overcome large acquisition gaps Open
To get the best result for seismic imaging using primary reflections, data with densely-spaced sources and receivers are ideally preferred. However, dense acquisition can sometimes be hindered by various obstacles, like platforms or comple…
View article: Joint migration inversion: features and challenges
Joint migration inversion: features and challenges Open
Joint migration inversion is a recently proposed technology, accommodating velocity model building and seismic migration in one integrated process. Different from the widely accepted full waveform inversion technology, it uses imaging para…
View article: From surface seismic data to reservoir elastic parameters using a full-wavefield redatuming approach
From surface seismic data to reservoir elastic parameters using a full-wavefield redatuming approach Open
SUMMARY Traditionally, reservoir elastic parameters inversion suffers from the overburden multiple scattering and transmission imprint in the local input data used for the target-oriented inversion. In this paper, we present a full-wavefie…