41 citations · 82 across the 8 of their papers we have counts for
5 papers · 1 filter
Parameter-Efficient Transfer Learning for Microseismic Phase Picking Using a Neural Operator
Ayrat Abdullin, Umair Bin Waheed, Leo Eisner +1
Seismic phase picking is fundamental for microseismic monitoring and subsurface imaging. Manual processing is impractical for real-time applications and large sensor arrays, motiva…
Learning from Imperfect Labels: A Physics-Aware Neural Operator with Application to DAS Data Denoising
Yang Cui, Denis Anikiev, Umair Bin Waheed +1
Supervised deep learning methods typically require large datasets and high-quality labels to achieve reliable predictions. However, their performance often degrades when trained on…
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…
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…
Deep learning for low-magnitude earthquake detection on a multi-level sensor network
Ahmed Shaheen, Umair bin Waheed, Michael Fehler +2
Automatic detection of low-magnitude earthquakes has become an increasingly important research topic in recent years due to a sharp increase in induced seismicity around the globe.…