9 papers
Modified Hamiltonian-driven shortest-path ray tracing in dissipative anisotropic media
Muhammad F. T. Darwis, Fateh Bouchaala, Umair Bin Waheed +1
Enhancing ray tracing in dissipative anisotropic media is challenging because the subsurface exhibits both geologic and rheological discontinuities and directionally dependent atte…
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…
Explainable AI for microseismic event detection
Ayrat Abdullin, Denis Anikiev, Umair Bin Waheed
Deep neural networks like PhaseNet show high accuracy in detecting microseismic events, but their black-box nature is a concern in critical applications. We apply Explainable Artif…
Seismic event classification with a lightweight Fourier Neural Operator model
Ayrat Abdullin, Umair bin Waheed, Leo Eisner +1
Real-time monitoring of induced seismicity is critical to mitigate operational risks, relying on the rapid and accurate classification of triggered data from continuous data stream…
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…