| Delineation of gas hydrate reservoirs in the Ulleung Basin using unsupervised multi-attribute clustering without well log data J Lee, J Byun, B Kim, DG Yoo Journal of Natural Gas Science and Engineering 46, 326-337, 2017 | 31 | 2017 |
| Improving total organic carbon estimation for unconventional shale reservoirs using Shapley value regression and deep machine learning methods J Lee, DE Lumley, UY Lim AAPG Bulletin 106 (11), 2297-2314, 2022 | 12* | 2022 |
| Predicting shale mineralogical brittleness index from seismic and elastic property logs using interpretable deep learning J Lee, DE Lumley Journal of Petroleum Science and Engineering 220, 111231, 2023 | 8 | 2023 |
| Sensitivity analysis of rock physics and seismic properties for Wolfcamp Shale J Lee, D Lumley SEG International Exposition and Annual Meeting, D043S105R004, 2019 | 8 | 2019 |
| Predicting brittleness for Wolfcamp shales using statistical rock physics and machine learning J Lee, DE Lumley AAPG Search and Discovery Article 42566, 2021 | 7 | 2021 |
| Interpreting the effects of shale rock properties on seismic anisotropy by statistical and machine learning methods J Lee, DE Lumley Geoenergy Science and Engineering 224, 211631, 2023 | 6 | 2023 |
| Improved TOC and lithology prediction for Wolfcamp shales using AVO attribute analysis J Lee, UY Lim, D Lumley Unconventional Resources Technology Conference, 20–22 July 2020, 3797-3806, 2020 | 6 | 2020 |
| Effective workflow of Poisson impedance analysis for identifying oil reservoir with similar resistivity log response to neighboring medias S Kim, J Lee, B Kim, J Byun SEG Technical Program Expanded Abstracts 2016, 2851-2855, 2016 | 6 | 2016 |
| Improving TOC estimation for Wolfcamp shales using statistical shale rock physics modeling J Lee, D Lumley, UY Lim SEG International Exposition and Annual Meeting, D031S061R005, 2020 | 5 | 2020 |
| Estimation of total organic carbon and brittleness from shale rock physics properties using machine learning methods J Lee, DE Lumley AGU Fall Meeting Abstracts 2020, MR023-0010, 2020 | 3 | 2020 |
| Improved lithospheric seismic velocity and density model of the Korean Peninsula from ambient seismic noise data using machine learning Y Song, J Lee, Z Yeeh, M Kim, J Byun Journal of Asian Earth Sciences 254, 105728, 2023 | 2 | 2023 |
| Estimating seismic anisotropy parameters from rock properties in Wolfcamp Shales, Midland Basin J Lee, D Lumley Unconventional Resources Technology Conference, 20–22 June 2022, 1305-1316, 2022 | 2 | 2022 |
| Feasibility study of seismic monitoring for gas hydrate production in the Ulleung Basin in the East Sea J Lee, M Kim, J Byun, DG Yoo Geosystem Engineering 19 (3), 108-118, 2016 | 2 | 2016 |
| Enhanced Wolfcamp Shale Permeability Estimation Based on Statistical Rock Physics Analysis J Lee Authorea Preprints, 2022 | 1 | 2022 |
| Machine learning-based anisotropy characterization of Wolfcamp shales in the Midland Basin J Lee, DE Lumley SEG International Exposition and Annual Meeting, D011S113R003, 2022 | 1 | 2022 |
| Basin‐scale prediction of S‐wave Sonic Logs using Machine Learning techniques from conventional logs J Lee, Y Chen, R Dommisse, GD Huang, A Savvaidis Geophysical Prospecting, 2024 | | 2024 |
| Predicting S-wave sonic logs using machine learning with conventional logs for the Delaware Basin, Texas J Lee, Y Chen, R Dommisse, A Savvaidis, GD Huang SEG International Exposition and Annual Meeting, SEG-2023-3908568, 2023 | | 2023 |
| Estimation of seismic and elastic properties of the crust and upper mantle beneath the Korean Peninsula J Lee Authorea Preprints, 2022 | | 2022 |
| Seismic Rock Physics Analysis of Organic-rich Shales Using Statistical and Machine Learning Methods J Lee The University of Texas at Dallas, 2022 | | 2022 |
| Seismic Rock Physics Analysis of Organic-Rich Shales Using Statistical and Machine Learning Methods J Lee The University of Texas at Dallas, 2022 | | 2022 |
Prof David LumleyGreen Chair in Geophysics, University of Texas at Dallas在 utdallas.edu 的电子邮件经过验证
