Seismic applications of downhole DAS
A Lellouch, BL Biondi - Sensors, 2021 - mdpi.com
Distributed Acoustic Sensing (DAS) is gaining vast popularity in the industrial and academic
sectors for a variety of studies. Its spatial and temporal resolution is ever helpful, but one of …
sectors for a variety of studies. Its spatial and temporal resolution is ever helpful, but one of …
Simulating seismic multifrequency wavefields with the Fourier feature physics-informed neural network
To simulate seismic wavefields with a frequency-domain wave equation, conventional
numerical methods must solve the equation sequentially to obtain the wavefields for different …
numerical methods must solve the equation sequentially to obtain the wavefields for different …
Seismic, waveform modeling and tomography
Y Wang, Y Rao - Encyclopedia of solid earth geophysics, 2020 - Springer
Tomography. A seismic inversion method to produce slicing image of the internal structures
of an object, by recording seismic wavefield propagating through and scatteredrefracted …
of an object, by recording seismic wavefield propagating through and scatteredrefracted …
[HTML][HTML] MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
Among the biggest challenges we face in utilizing neural networks trained on waveform (ie,
seismic, electromagnetic, or ultrasound) data is its application to real data. The requirement …
seismic, electromagnetic, or ultrasound) data is its application to real data. The requirement …
[HTML][HTML] Machine learning prediction of permeability distribution in the X field Malay Basin using elastic properties
Accurate estimation of porosity and permeability distribution is vital for reservoir
characterization, particularly challenging in areas with limited well data. This study …
characterization, particularly challenging in areas with limited well data. This study …
Weighted envelope correlation-based waveform inversion using automatic differentiation
Full-waveform inversion (FWI) is a popularly used high-resolution seismic inversion method.
It relies on the measure of the misfit between observed data and predicted data. Due to the …
It relies on the measure of the misfit between observed data and predicted data. Due to the …
3D modelling of flow units and petrophysical properties in Brazilian presalt carbonate
R Penna, WM Lupinacci - Marine and Petroleum Geology, 2021 - Elsevier
Rock ty** into flow units (FU) is a well-known technique for characterizing flow
heterogeneities in reservoirs and producing reliable estimations of petrophysical properties …
heterogeneities in reservoirs and producing reliable estimations of petrophysical properties …
Least-squares reverse time migration with a multiplicative Cauchy constraint
One of reverse time migration's main limitations is that an unscaled adjoint operator is prone
to produce images with low resolution, inaccurate amplitudes, and even artifacts. Least …
to produce images with low resolution, inaccurate amplitudes, and even artifacts. Least …
High-frequency wavefield extrapolation using the Fourier neural operator
In seismic wave simulation, solving the wave equation in the frequency domain requires
calculating the inverse of the impedance matrix. The total cost strictly depends on the …
calculating the inverse of the impedance matrix. The total cost strictly depends on the …
Regularization of anisotropic full-waveform inversion with multiple parameters by adversarial neural networks
The anisotropic full-waveform inversion (FWI) is a seismic inverse problem for multiple
parameters, which aims to simultaneously reconstruct the vertical velocity and the …
parameters, which aims to simultaneously reconstruct the vertical velocity and the …