| Fair train-test split in machine learning: Mitigating spatial autocorrelation for improved prediction accuracy JJ Salazar, L Garland, J Ochoa, MJ Pyrcz Journal of Petroleum Science and Engineering 209, 109885, 2022 | 42 | 2022 |
| The physical meaning of the Koval factor JJ Salazar, LW Lake Mathematical Geosciences 52 (8), 1017-1033, 2020 | 7 | 2020 |
| Geostatistical Significance of Differences for Spatial Subsurface Phenomenon JJ Salazar, MJ Pyrcz Journal of Petroleum Science and Engineering 203, 2021 | 6 | 2021 |
| Heterogeneity study of the Little Creek field from petrophysical data JJS Neira University of Texas at Austin, 2018 | 3 | 2018 |
| Self-Supervised Learning for Seismic Data: Enhancing Model Interpretability With Seismic Attributes JJ Salazar, E Maldonado-Cruz, J Ochoa, MJ Pyrcz IEEE Transactions on Geoscience and Remote Sensing 61, 1-18, 2023 | 2 | 2023 |
| Spatial data analytics-assisted subsurface modeling: A duvernay case study JJ Salazar, J Ochoa, L Garland, LW Lake, MJ Pyrcz Petrophysics 64 (02), 287-302, 2023 | 2 | 2023 |
| Minimum Acceptance Criteria for Subsurface Scenario-based Uncertainty Models from Single Image Generative Adversarial Networks (SinGAN) L Liu, JJ Salazar, H Jo, M Prodanović, MJ Pyrcz | 1 | 2024 |
| A Machine Learning Workflow to Support the Identification of Subsurface Resource Analogs AO Mabadeje, JJ Salazar, J Ochoa, L Garland, MJ Pyrcz Energy Exploration & Exploitation 42 (2), 603-625, 2024 | 1 | 2024 |
| DATA ANALYTICS AND MACHINE LEARNING WORKFLOWS FOR OPTIMIZATION OF UNCONVENTIONAL ASSETS. CASE STUDY: NEUQUÉN BASIN, VACA MUERTA PLAY J Ochoa, LE Gardland, KU Hollund, JJ Salazar, M Pyrcz, H Zhang | | |
Michael J. PyrczProfessor, The University of Texas at Austin在 austin.utexas.edu 的电子邮件经过验证
