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 …

Simulating seismic multifrequency wavefields with the Fourier feature physics-informed neural network

C Song, Y Wang - Geophysical Journal International, 2023 - academic.oup.com
To simulate seismic wavefields with a frequency-domain wave equation, conventional
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 …

[HTML][HTML] MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning

T Alkhalifah, H Wang, O Ovcharenko - Artificial Intelligence in Geosciences, 2022 - Elsevier
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 …

[HTML][HTML] Machine learning prediction of permeability distribution in the X field Malay Basin using elastic properties

ZA Riyadi, JO Olutoki, M Hermana, AHA Latif… - Results in …, 2024 - Elsevier
Accurate estimation of porosity and permeability distribution is vital for reservoir
characterization, particularly challenging in areas with limited well data. This study …

Weighted envelope correlation-based waveform inversion using automatic differentiation

C Song, Y Wang, A Richardson… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

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 …

Least-squares reverse time migration with a multiplicative Cauchy constraint

G Yao, B Wu, NV da Silva, HA Debens, D Wu, J Cao - Geophysics, 2022 - library.seg.org
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 …

High-frequency wavefield extrapolation using the Fourier neural operator

C Song, Y Wang - Journal of Geophysics and Engineering, 2022 - academic.oup.com
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 …

Regularization of anisotropic full-waveform inversion with multiple parameters by adversarial neural networks

J Yao, M Warner, Y Wang - Geophysics, 2023 - library.seg.org
The anisotropic full-waveform inversion (FWI) is a seismic inverse problem for multiple
parameters, which aims to simultaneously reconstruct the vertical velocity and the …