| Deep learning-driven velocity model building workflow M Araya-Polo, S Farris, M Florez The Leading Edge 38 (11), 872a1-872a9, 2019 | 69 | 2019 |
| Fast and accurate seismic tomography via deep learning M Araya-Polo, A Adler, S Farris, J Jennings Deep learning: Algorithms and applications, 129-156, 2019 | 29 | 2019 |
| Tomography: a deep learning vs full-waveform inversion comparison S Farris, M Araya-Polo, J Jennings, B Clapp, B Biondi First EAGE Workshop on High Performance Computing for Upstream in Latin …, 2018 | 29 | 2018 |
| DAS observations and modeling of perforation-induced guided waves in a shale reservoir A Lellouch, S Horne, MA Meadows, S Farris, T Nemeth, B Biondi The Leading Edge 38 (11), 858-864, 2019 | 25 | 2019 |
| An object-oriented optimization framework for large-scale inverse problems E Biondi, G Barnier, RG Clapp, F Picetti, S Farris Computers & Geosciences 154, 104790, 2021 | 12 | 2021 |
| Deep learning velocity model building using an ensemble regression approach S Farris, G Barnier, R Clapp SEG International Exposition and Annual Meeting, D011S195R001, 2022 | 4 | 2022 |
| Integration of deep neural networks into seismic workflows for low-carbon energy B Biondi, J Jennings, M Jun Park, S Farris, B Clapp Second International Meeting for Applied Geoscience & Energy, 2986-2988, 2022 | 2 | 2022 |
| Bridging the gap: Deep learning on seismic field data with synthetic training for building Gulf of Mexico velocity models S Farris, R Clapp Third International Meeting for Applied Geoscience & Energy, 945-949, 2023 | 1 | 2023 |
| Generating realistic synthetic seismic data items A Goncharuk, NP Pham, SY Looi, S Farris, R Clapp US Patent App. 18/228,805, 2024 | | 2024 |
| Learning-Based Seismic Velocity Inversion with Synthetic and Field Data S Farris, R Clapp, M Araya-Polo Sensors 23 (19), 8277, 2023 | | 2023 |
| Pyseis: A high-performance, user-friendly Python package for GPU-accelerated seismic modeling and subsurface imaging S Farris, G Barnier, E Biondi, R Clapp SEG International Exposition and Annual Meeting, SEG-2023-3916155, 2023 | | 2023 |
| Object-Oriented Optimization for Small-and Large-Scale Seismic Inversion Procedures E Biondi, G Barnier, R Clapp, F Picetti, S Farris Digital Subsurface Conference in Latin America 2021 (1), 1-5, 2021 | | 2021 |
| Combined Unsupervised and Supervised Machine Learning for Tomography S Farris, MA Florez, M Araya-Polo AGU Fall Meeting 2018, 2018 | | 2018 |
| Velocity estimation with alternating gradiometry and wavefield reconstruction inversion S Farris, B Biondi | | 2018 |
| Systematic bandwidth picking for the spectral ratio method S Farris | | |
| Higher Order Principal Component Analysis for Identifying AVO Anomalies S Farris, S Levin | | |
