34 citations · 35 across the 7 of their papers we have counts for
7 papers
SeisCoDE: 3D Seismic Interpretation Foundation Model with Contrastive Self-Distillation Learning
Goodluck Archibong, Ardiansyah Koeshidayatullah, Umair Waheed +3
Seismic interpretation is vital for understanding subsurface structures but remains labor-intensive, subjective, and computationally demanding. While deep learning (DL) offers prom…
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…
Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI)
Kamaljyoti Nath, Khemraj Shukla, Victor C. Tsai +6
Full Waveform Inversion (FWI) is an important geophysical technique considered in subsurface property prediction. It solves the inverse problem of predicting high-resolution Earth…
Dictionary Learning with Convolutional Structure for Seismic Data Denoising and Interpolation
Murad Almadani, Umair bin Waheed, Mudassir Masood +1
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 applicati…
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…
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…