203 citations · 264 across the 11 of their papers we have counts for
13 papers
GeoFWI3D: Large-scale 3D Velocity Model Dataset for Deep Learning-assisted Seismic Imaging
Sujith Swaminadhan, Yiran Shen, Chao Li +11
We introduce GeoFWI3D, a large-scale open-source benchmark dataset of geologically plausible 3D subsurface models designed to accelerate deep learning (DL) assisted seismic imaging…
CHERT: Cached Hamiltonian-Enhanced Ray Tracing in Viscoelastic Anisotropic Media
Muhammad F. T. Darwis, Fateh Bouchaala, Umair Bin Waheed +1
Three sentence novelty statement: CHERT decouples the g Hamiltonian ray quantity computation from field scale shortest path ray tracing through reusable directional caches. The cac…
Seismic first-arrival traveltime simulation based on reciprocity-constrained PINN
Hang Geng, Chao Song, Umair bin Waheed +1
Simulating seismic first-arrival traveltime plays a crucial role in seismic tomography. First-arrival traveltime simulation relies on solving the eikonal equation. The accuracy of…
PINNPStomo: Simultaneous P- and S-wave seismic traveltime tomography using physics-informed neural networks with a new factored eikonal equation
Chao Song, Hang Geng, Umair bin Waheed +1
Seismic tomography has long been an effective tool for constructing reliable subsurface structures. However, simultaneous inversion of P- and S-wave velocities presents a significa…
Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion
Ben Mansour Dia, Michael Fehler, SanLinn I. Kaka +3
We address an optimal sensor placement problem through Bayesian experimental design for seismic full waveform inversion for the recovery of the associated moment tensor. The object…
Seismic traveltime simulation for variable velocity models using physics-informed Fourier neural operator
Chao Song, Tianshuo Zhao, Umair bin Waheed +2
Seismic traveltime is critical information conveyed by seismic waves, widely utilized in various geophysical applications. Conventionally, the simulation of seismic traveltime invo…
Will ChatGPT and Related AI-Tools Alter the Future of the Geosciences and Petroleum Engineering?
Ruud Weijermars, Umair bin Waheed, Kanan Suleymanli
A key aim of this paper is to explore how our professional tasks as geoscientists and petroleum engineers can be completed more effectively making use of tools powered by Artificia…
An enrichment approach for enhancing the expressivity of neural operators with applications to seismology
Ehsan Haghighat, Umair bin Waheed, George Karniadakis
The Eikonal equation plays a central role in seismic wave propagation and hypocenter localization, a crucial aspect of efficient earthquake early warning systems. Despite recent pr…
Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty
Muhammad Izzatullah, Isa Eren Yildirim, Umair Bin Waheed +1
Several techniques have been proposed over the years for automatic hypocenter localization. While those techniques have pros and cons that trade-off computational efficiency and th…
Solving the Eikonal equation for compressional and shear waves in anisotropic media using peridynamic differential operator
Ali Can Bekar, Erdogan Madenci, Ehsan Haghighat +2
The traveltime of compressional (P) and shear (S) waves have proven essential in many applications of earthquake and exploration seismology. An accurate and efficient traveltime co…
PINNeik: Eikonal solution using physics-informed neural networks
Umair bin Waheed, Ehsan Haghighat, Tariq Alkhalifah +2
The eikonal equation is utilized across a wide spectrum of science and engineering disciplines. In seismology, it regulates seismic wave traveltimes needed for applications like so…
Efficient traveltime solution of the acoustic TI eikonal equation
Umair bin Waheed, Tariq Alkhalifah, Hui Wang
Numerical solutions of the eikonal (Hamilton-Jacobi) equation for transversely isotropic (TI) media are essential for imaging and traveltime tomography applications. Such solutions…
A comparison of high order explicit Runge-Kutta, extrapolation, and deferred correction methods in serial and parallel
David I. Ketcheson, Umair bin Waheed
We compare the three main types of high-order one-step initial value solvers: extrapolation, spectral deferred correction, and embedded Runge--Kutta pairs. We consider orders four…