| Tuning machine learning dropout for subsurface uncertainty model accuracy E Maldonado-Cruz, MJ Pyrcz Journal of Petroleum Science and Engineering 205, 108975, 2021 | 16 | 2021 |
| Fast evaluation of pressure and saturation predictions with a deep learning surrogate flow model E Maldonado-Cruz, MJ Pyrcz Journal of Petroleum Science and Engineering 212, 110244, 2022 | 14 | 2022 |
| Sonic Well-Log Imputation Through Machine-Learning-Based Uncertainty Models E Maldonado-Cruz, JT Foster, MJ Pyrcz Petrophysics 64 (02), 253-270, 2023 | 4 | 2023 |
| Multi-horizon well performance forecasting with temporal fusion transformers E Maldonado-Cruz, MJ Pyrcz Results in Engineering 21, 101776, 2024 | 2 | 2024 |
| 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 |
| Data Conditioning for Subsurface Models with Single-Image Generative Adversarial Network (SinGAN) L Liu, E Maldonado-Cruz, H Jo, M Prodanović, MJ Pyrcz arXiv preprint arXiv:2404.05068, 2024 | | 2024 |
| Machine learning-based uncertainty models for reservoir property prediction and forecasting E Maldonado Cruz | | 2023 |
