Smart DAS upholes for simultaneous land near-surface characterization and subsurface imaging A Bakulin, P Golikov, R Smith, K Erickson, I Silvestrov, M Al-Ali The Leading Edge 36 (12), 1001-1008, 2017 | 58 | 2017 |
Near surface changes and 4D seismic repeatability in desert environment: From days to years A Bakulin*, R Smith, M Jervis, R Burnstad SEG Technical Program Expanded Abstracts 2014, 4843-4847, 2014 | 22 | 2014 |
Making time-lapse seismic work in a complex desert environment for CO2 EOR monitoring — Design and acquisition M Jervis, A Bakulin, R Smith The Leading Edge 37 (8), 598-606, 2018 | 21 | 2018 |
Processing and repeatability of 4D buried receiver data in a desert environment A Bakulin, R Smith, M Jervis, C Saragiotis, E Al-Hemyari, A Alramadhan SEG Technical Program Expanded Abstracts 2016, 5405-5409, 2016 | 19 | 2016 |
Smart DAS uphole acquisition system for near-surface characterization and imaging A Bakulin, P Golikov, R Smith, K Erickson, I Silvestrov, M Al-Ali SEG Technical Program Expanded Abstracts 2018, 201-205, 2018 | 16 | 2018 |
Robust deep learning-based seismic inversion workflow using temporal convolutional networks R Smith, P Nivlet, H Alfayez, N AlBinHassan Interpretation 10 (2), 1-68, 2022 | 12 | 2022 |
Machine learning algorithms for real-time prediction of the sonic logs based on drilling parameters and downhole accelerometers S Glubokovskikh, A Bakulin, R Smith, I Silvestrov SEG Technical Program Expanded Abstracts 2020, 405-409, 2020 | 12 | 2020 |
Automated well-to-seismic tie using deep neural networks P Nivlet, R Smith, N AlBinHassan SEG Technical Program Expanded Abstracts 2020, 2156-2160, 2020 | 12 | 2020 |
Making seismic monitoring work in a desert environment with complex near surface A Bakulin, M Jervis, R Burnstad, R Smith SEG Technical Program Expanded Abstracts 2013, 4900-4904, 2013 | 11 | 2013 |
Seismic imaging of vertical array data acquired using smart DAS uphole acquisition system A Bakulin, P Golikov, K Erickson, I Silvestrov, YS Kim, R Smith, M Al-Ali SEG Technical Program Expanded Abstracts 2018, 4050-4054, 2018 | 10 | 2018 |
Near surface changes and 4D seismic repeatability in desert environment: From days to years: 84th Annual International Meeting, SEG, Expanded Abstracts, 4843–4847 A Bakulin, R Smith, M Jervis, R Burnstad Abstract, 2014 | 8 | 2014 |
Deep learning network optimization and hyperparameter tuning for seismic lithofacies classification M Jervis, M Liu, R Smith The Leading Edge 40 (7), 514-523, 2021 | 7 | 2021 |
Making seismic monitoring work in a complex desert environment—4D processing R Smith, E Hemyari, A Bakulin, A Alramadhan The Leading Edge 38 (8), 637-645, 2019 | 7 | 2019 |
Permanent buried receiver monitoring of a carbonate reservoir in a desert environment A Bakulin, R Smith, M Jervis 80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018 | 7 | 2018 |
Cross-equalization of time-lapse seismic data using recurrent neural networks A Alali, V Kazei, B Sun, R Smith, P Nivlet, A Bakulin, T Alkalifah SEG Technical Program Expanded Abstracts 2020, 1506-1510, 2020 | 6 | 2020 |
4D Seismic Monitoring of a CO2-EOR Demonstration Project in a Desert Environment: Acquisition, Processing and Initial Results R Smith, A Bakulin, M Jervis, E Hemyari, A Alramadhan, K Erickson SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, 2018 | 6 | 2018 |
Use of early arrivals for 4D analysis and processing of buried receiver data on land A Bakulin, R Smith, M Jervis, R Burnstad SEG Technical Program Expanded Abstracts 2015, 5493-5497, 2015 | 6 | 2015 |
Predicting sonic and density logs from drilling parameters using temporal convolutional networks R Smith, A Bakulin, P Golikov, N AlBinHassan The Leading Edge 41 (9), 617-627, 2022 | 5 | 2022 |
Smart DAS upholes for near surface model building and deep imaging with vertical arrays A Bakulin, P Golikov, R Smith, K Erickson, I Silvestrov, M Al-Ali International Conference on Engineering Geophysics, Al Ain, United Arab …, 2017 | 5 | 2017 |
Target-oriented time-lapse elastic full-waveform inversion assisted by deep learning with prior information Y Li, A Bakulin, P Nivlet, R Smith, T Alkhalifah First International Meeting for Applied Geoscience & Energy, 3490-3494, 2021 | 4 | 2021 |