Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Waheed, Umair Bin"'
Publikováno v:
Geophysics (2021): 1-102
Seismic data inevitably suffers from random noise and missing traces in field acquisition. This limits the utilization of seismic data for subsequent imaging or inversion applications. Recently, dictionary learning has gained remarkable success in se
Externí odkaz:
http://arxiv.org/abs/2411.05956
The global demand for unconventional energy sources such as geothermal energy and white hydrogen requires new exploration techniques for precise subsurface structure characterization and potential reservoir identification. Magnetotelluric (MT) invers
Externí odkaz:
http://arxiv.org/abs/2410.15274
Seismic tomography has long been an effective tool for constructing reliable subsurface structures. However, simultaneous inversion of P- and S-wave velocities presents a significant challenge for conventional seismic tomography methods, which depend
Externí odkaz:
http://arxiv.org/abs/2407.16439
Autor:
Dia, Ben Mansour, Fehler, Michael, Kaka, SanLinn I., Scarinci, Andrea, Waheed, Umair bin, Gu, Chen
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 objective is that of optimally choosing the location of the sensors (station
Externí odkaz:
http://arxiv.org/abs/2403.01403
Seismic traveltime is critical information conveyed by seismic waves, widely utilized in various geophysical applications. Conventionally, the simulation of seismic traveltime involves solving the eikonal equation. However, the efficiency of traditio
Externí odkaz:
http://arxiv.org/abs/2311.03751
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 progress, real-time earthquake localization remains challenging due to t
Externí odkaz:
http://arxiv.org/abs/2306.04096
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 Artificial Intelligence (AI), offered in commercial platforms now readily avail
Externí odkaz:
http://arxiv.org/abs/2306.02882
Autor:
Waheed, Umair bin
Natural gas and oil from characteristically complex unconventional reservoirs, such as organic shale, tight gas and oil, coal-bed methane; are transforming the global energy market. These conventional reserves exist in complex geologic formations whe
Externí odkaz:
http://hdl.handle.net/10754/576306
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 the susceptibility of getting trapped in local minima, an alternate appr
Externí odkaz:
http://arxiv.org/abs/2205.14439
Solving the wave equation numerically constitutes the majority of the computational cost for applications like seismic imaging and full waveform inversion. An alternative approach is to solve the frequency domain Helmholtz equation, since it offers a
Externí odkaz:
http://arxiv.org/abs/2110.07721