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Stuart Farris, PhD
Stuart Farris, PhD
X, the moonshot factory | Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Deep learning-driven velocity model building workflow
M Araya-Polo, S Farris, M Florez
The Leading Edge 38 (11), 872a1-872a9, 2019
682019
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
292019
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
292018
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
242019
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
112021
Deep learning velocity model building using an ensemble regression approach
S Farris, G Barnier, R Clapp
SEG International Exposition and Annual Meeting, D011S195R001, 2022
42022
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
22022
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
12023
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
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Articles 1–15