| Projection of Logging While Drilling Data at the Bit by Implementing Supervised Machine Learning Algorithm A Sharma, T Burak, R Nygaard, S Hellvik, E Hoel, M Welmer SPE Oklahoma City Oil and Gas Symposium/Production and Operations Symposium …, 2023 | 6 | 2023 |
| Projecting Petrophysical Logs at the Bit through Multi-Well Data Analysis with Machine Learning A Sharma, T Burak, R Nygaard, E Hoel, T Kristiansen, S Hellvik, ... SPE Offshore Europe Conference and Exhibition, D031S012R001, 2023 | 5 | 2023 |
| Estimation of Downhole Inclination in Directionally Drilled Geothermal Wells T Burak, S Akin World geothermal congress, 1-10, 2021 | 5 | 2021 |
| Application of artificial neural networks to predict the downhole inclination in directionally drilled geothermal wells T Burak Middle East Technical University, 2018 | 4 | 2018 |
| Predicting Gas Separation Efficiency of a Downhole Separator Using Machine Learning A Sharma, LC Osorio Ojeda, N Yuan, T Burak, I Gupta, N Konate, ... Energies 17 (11), 2655, 2024 | | 2024 |
| Compressional and Tensile Strengths of Miocene Sandstones of Eastern Mediterranean T Burak, T Beydes, S Saner 19th International Petroleum and Natural Gas Congress and Exhibition of …, 2013 | | 2013 |
| Real-Time Lithology Prediction at the Bit T Burak, A Sharma, E Hoel, T Kristiansen, M Welmer, R Nygaard Available at SSRN 4836977, 0 | | |
Ashutosh SharmaUniversity of oklahoma在 ou.edu 的电子邮件经过验证
Ashutosh SharmaUniversity of oklahoma在 ou.edu 的电子邮件经过验证