| A comparison of classification techniques for seismic facies recognition T Zhao, V Jayaram, A Roy, KJ Marfurt Interpretation 3 (4), SAE29-SAE58, 2015 | 289 | 2015 |
| Looking ahead of the bit using surface drilling and petrophysical data: Machine-learning-based real-time geosteering in volve field I Gupta, N Tran, D Devegowda, V Jayaram, C Rai, C Sondergeld, ... SPE Journal 25 (02), 990-1006, 2020 | 61 | 2020 |
| Lithofacies classification in Barnett Shale using proximal support vector machines T Zhao, V Jayaram, KJ Marfurt, H Zhou SEG International Exposition and Annual Meeting, SEG-2014-1210, 2014 | 50 | 2014 |
| Machine learning model interpretability using SHAP values: Application to a seismic facies classification task D Lubo-Robles, D Devegowda, V Jayaram, H Bedle, KJ Marfurt, ... SEG international exposition and annual meeting, D021S008R006, 2020 | 36 | 2020 |
| TOC estimation in the Barnett Shale from triple combo logs using support vector machine T Zhao*, S Verma, D Devegowda, V Jayaram SEG Technical Program Expanded Abstracts 2015, 791-795, 2015 | 28 | 2015 |
| An approach to offer management: Maximizing sales with fare products and ancillaries B Vinod, R Ratliff, V Jayaram Journal of Revenue and Pricing Management 17 (2), 91-101, 2018 | 23 | 2018 |
| Application of interpretable machine-learning workflows to identify brittle, fracturable, and producible rock in horizontal wells using surface drilling data NL Tran, I Gupta, D Devegowda, V Jayaram, H Karami, C Rai, ... SPE Reservoir Evaluation & Engineering 23 (04), 1328-1342, 2020 | 22 | 2020 |
| Directional analysis and filtering for dust storm detection in NOAA-AVHRR imagery S Janugani, V Jayaram, SD Cabrera, JG Rosiles, TE Gill, NR Rivera Algorithms and Technologies for multispectral, hyperspectral, and …, 2009 | 22 | 2009 |
| Hydraulic fracturing stimulation monitoring with distributed fiber optic sensing and microseismic in the Permian Wolfcamp shale play V Jayaram, R Hull, J Wagner, S Zhang SPE/AAPG/SEG Unconventional Resources Technology Conference, D013S013R002, 2019 | 21 | 2019 |
| Active learning algorithms in seismic facies classification A Roy, V Jayaram, K Marfurt SEG Technical Program Expanded Abstracts 2013, 1467-1471, 2013 | 20 | 2013 |
| Autoregressive and Machine Learning Driven Production Forecasting–Midland Basin Case Study I Gupta, O Samandarli, A Burks, V Jayaram, D McMaster, D Niederhut, ... Unconventional Resources Technology Conference, 26–28 July 2021, 3104-3117, 2021 | 15 | 2021 |
| Quantifying the sensitivity of seismic facies classification to seismic attribute selection: An explainable machine-learning study D Lubo-Robles, D Devegowda, V Jayaram, H Bedle, KJ Marfurt, ... Interpretation 10 (3), SE41-SE69, 2022 | 14 | 2022 |
| Machine learning regressors and their metrics to predict synthetic sonic and brittle zones I Gupta*, D Devegowda, V Jayaram, C Rai, C Sondergeld Unconventional Resources Technology Conference, Denver, Colorado, 22-24 July …, 2019 | 14 | 2019 |
| Machine learning regressors and their metrics to predict synthetic sonic and mechanical properties I Gupta, D Devegowda, V Jayaram, C Rai, C Sondergeld Interpretation 7 (3), SF41-SF55, 2019 | 13 | 2019 |
| Joint interpretation of fiber optics and downhole gauge data for near wellbore region characterization S Zhang, H Tang, R Hurt, V Jayaram, J Wagner SPE Hydraulic Fracturing Technology Conference and Exhibition, D021S004R002, 2020 | 10 | 2020 |
| Detection from Hyperspectral images compressed using rate distortion and optimization techniques under JPEG2000 Part 2 V Jayaram, BE Usevitch, OM Kosheleva 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th Digital Signal …, 2004 | 9 | 2004 |
| DAS recorded body and tube wave generated by perforation shots: Analysis and numerical modeling for completion monitoring and reservoir characterization S Zhang, A Titov, V Jayaram, H Bello, R Hurt, G Jin SPE/AAPG/SEG Unconventional Resources Technology Conference, D021S051R001, 2021 | 7 | 2021 |
| Statistical Characterization and Geological Correlation of Wells Using Automatic Learning Gaussian Mixture Models D Lubo, V Jayaram, KJ Marfurt Unconventional Resources Technology Conference, pp. 774-783, 2014 | 7 | 2014 |
| Machine learning workflow to identify brittle, fracable and producible rock in horizontal wells using surface drilling data N Lam Tran, I Gupta, D Devegowda, H Karami, C Rai, V Jayaram, ... SPE Annual Technical Conference and Exhibition?, D031S033R007, 2020 | 6 | 2020 |
| Active learning algorithms in seismic facies classification: 83rd Annual International Meeting, SEG, Expanded Abstracts, 1467–1471 A Roy, V Jayaram, KJ Marfurt Abstract, 2013 | 6 | 2013 |
Atish RoyGeophysical Analyst, BP在 bp.com 的电子邮件经过验证
