Biblio
Export 76 results:
Author Title [ Type] Year Filters: First Letter Of Last Name is S [Clear All Filters]
“3D seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Abstractions for at-scale seismic inversion”, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
, “Accelerating ideation and innovation cheaply in the Cloud the power of abstraction, collaboration and reproducibility”, in 4th EAGE Workshop on High-performance Computing, 2019.
, “Accelerating innovation with software abstractions for scalable computational geophysics”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, “Active-set methods for basis pursuit”, in WCOM, 2008.
, “Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification”, in SPIE Medical Imaging Conference, 2023.
, “Amortized normalizing flows for transcranial ultrasound with uncertainty quantification”, in Medical Imaging with Deep Learning, 2023.
, “Beating Nyquist by randomized sampling”, in EAGE Annual Conference Proceedings, 2009.
, “Capturing velocity-model uncertainty and two-phase flow with Fourier Neural Operators”, in EAGE Annual Conference Proceedings, 2022, p. AI in Geoscience and Geophysics: Current Trends and Future Prospects (Dedicated Session).
, “Comparison of standard adaptive subtraction and primary-multiple separation in the curvelet domain”, in EAGE Annual Conference Proceedings, 2010.
, “Compressed sensing based land simultaneous acquisition using encoded sweeps”, in EAGE Annual Conference Proceedings, 2018.
, “Compressive time-lapse marine acquisition”, in SEG Workshop on Low cost geophysics: How to be creative in a cost-challenged environment; Dallas, 2016.
, “Constrained waveform inversion of colocated VSP and surface seismic data”, in EAGE Annual Conference Proceedings, 2015.
, “Curvelet-based primary-multiple separation from a Bayesian perspective”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2510-2514.
, “Curvelet-based primary-multiple separation from a Bayesian perspective”, in SINBAD 2008, 2008.
, “Curvelet-domain matched filtering with frequency-domain regularization”, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3645-3649.
, “A debiasing approach to microseismic”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.
, “Deep Bayesian Inference for Task-based Seismic Imaging”, in KAUST, 2021.
, “Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
, “A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification”, in EAGE Annual Conference Proceedings, 2020.
, “Deep-learning based ocean bottom seismic wavefield recovery”, in SEG Technical Program Expanded Abstracts, 2019, pp. 2232-2237.
, “Enabling uncertainty quantification for seismic data pre-processing using normalizing flows (NF)—an interpolation example”, in SEG Technical Program Expanded Abstracts, 2021, pp. 1515-1519.
, “Event-driven workflows for large-scale seismic imaging in the cloud”, in SEG Technical Program Expanded Abstracts, 2019, pp. 3984-3988.
, “Fast and reliability-aware seismic imaging with conditional normalizing flows”, in Intelligent illumination of the Earth, 2021.
, “FWI from the West Coasts: lessons learned from "Gulf of Mexico Imaging Challenges: What Can Full Waveform Inversion Achieve?"”, in SEG Workshop on FWI; Las Vegas, 2012.
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