29 citations · 170 across the 34 of their papers we have counts for
10 papers · 1 filter
IntraSeismic: a coordinate-based learning approach to seismic inversion
Juan Romero, Wolfgang Heidrich, Nick Luiken +1
Seismic imaging is the numerical process of creating a volumetric representation of the subsurface geological structures from elastic waves recorded at the surface of the Earth. As…
A reciprocity-aware, low-rank regularization for multidimensional deconvolution
Fuqiang Chen, Matteo Ravasi, David Keyes
This paper presents a novel factorization-based, low-rank regularization method for solving multidimensional deconvolution problems in the frequency domain. In this approach, each…
Laterally constrained low-rank seismic data completion via cyclic-shear transform
David Vargas, Ivan Vasconcelos, Nick Luiken +1
A crucial step in seismic data processing consists in reconstructing the wavefields at spatial locations where faulty or absent sources and/or receivers result in missing data. Sev…
Explainable Artificial Intelligence driven mask design for self-supervised seismic denoising
Claire Birnie, Matteo Ravasi
The presence of coherent noise in seismic data leads to errors and uncertainties, and as such it is paramount to suppress noise as early and efficiently as possible. Self-supervise…
Seis2Rock: A Data-Driven Approach to Direct Petrophysical Inversion of Pre-Stack Seismic Data
Miguel Corrales, Hussein Hoteit, Matteo Ravasi
The inversion of petrophysical parameters from seismic data represents a fundamental step in the process of characterizing the subsurface. We propose a novel, data-driven approach…
Deep Learning-based extraction of surface wave dispersion curves from seismic shot gathers
Danilo Chamorro, Jiahua Zhao, Claire Birnie +3
Multi-channel Analysis of Surface Waves (MASW) is a seismic method employed to obtain useful information about shear-wave velocities in the near surface. A fundamental step in this…
Physics reliable frugal uncertainty analysis for full waveform inversion
Muhammad Izzatullah, Matteo Ravasi, Tariq Alkhalifah
Full waveform inversion (FWI) enables us to obtain high-resolution velocity models of the subsurface. However, estimating the associated uncertainties in the process is not trivial…
PINNslope: seismic data interpolation and local slope estimation with physics informed neural networks
Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah
Interpolation of aliased seismic data constitutes a key step in a seismic processing workflow to obtain high quality velocity models and seismic images. Building on the idea of des…
Why POCS works, and how to make it better
Matteo Ravasi, Nick Luiken
Projection Over Convex Sets (POCS) is one of the most widely used algorithms in geophysical data processing to interpolate seismic data. Whilst usually described as a modification…
Seeing through the CO2 plume: joint inversion-segmentation of the Sleipner 4D Seismic Dataset
Juan Romero, Nick Luiken, Matteo Ravasi
4D seismic inversion is the leading method to quantitatively monitor fluid flow dynamics in the subsurface, with applications ranging from enhanced oil recovery to subsurface CO2 s…