Efficient prediction of hydrogen storage performance in depleted gas reservoirs using machine learning S Mao, B Chen, M Malki, F Chen, M Morales, Z Ma, M Mehana
Applied Energy 361, 122914, 2024
28 2024 A critical review of physics-informed machine learning applications in subsurface energy systems A Latrach, ML Malki, M Morales, M Mehana, M Rabiei
Geoenergy Science and Engineering, 212938, 2024
26 2024 Cushion gas effects on hydrogen storage in porous rocks: Insights from reservoir simulation and deep learning S Mao, B Chen, M Morales, M Malki, M Mehana
International Journal of Hydrogen Energy 68, 1033-1047, 2024
15 2024 Best practices in automatic permeability estimation: machine-learning methods vs. conventional petrophysical models O Raheem, W Pan, MM Morales, C Torres-Verdín
Petrophysics-The SPWLA Journal of Formation Evaluation and Reservoir …, 2024
5 2024 Assimilation of Geophysics-Derived Spatial Data for Model Calibration in Geologic CO2 Sequestration B Chen, MM Morales, Z Ma, Q Kang, RJ Pawar
SPE Journal, 1-10, 2024
5 2024 Stochastic pix2vid: A new spatiotemporal deep learning method for image-to-video synthesis in geologic CO MM Morales, C Torres-Verdín, MJ Pyrcz
Computational Geosciences, 1-22, 2024
3 2024 Optimal monitoring design for uncertainty quantification during geologic CO2 sequestration: A machine learning approach MM Morales, M Mehana, C Torres-Verdín, MJ Pyrcz, B Chen
Geoenergy Science and Engineering 244, 213402, 2025
1 2025 Anisotropic resistivity estimation and uncertainty quantification from borehole triaxial electromagnetic induction measurements: Gradient-based inversion and physics-informed … MM Morales, A Eghbali, O Raheem, MJ Pyrcz, C Torres-Verdín
Computers & Geosciences 196, 105786, 2025
2025 Automatic well-log baseline correction via deep learning for rapid screening of potential CO2 storage sites MM Morales, C Torres-Verdín, M Pyrcz, M Christie, V Rabinovich
SEG International Exposition and Annual Meeting, SEG-2024-4088064, 2024
2024 Automatic rock classification from core data to well logs: Using machine learning to accelerate potential CO2 storage site characterization MM Morales, O Raheem, C Torres-Verdín, M Pyrcz, M Christie, ...
Fourth International Meeting for Applied Geoscience & Energy, 632-636, 2024
2024 Boundary element method for the Dirichlet problem for Laplace's equation on a disk MM Morales, S Pomeranz
arXiv preprint arXiv:2401.11616, 2024
2024 Estimation of Hydrogen Storage Performance in Porous Rocks Integrating Deep Learning and Reservoir Simulation S Mao, B Chen, M Morales, ML Malki, M Ma, M Mehana
AGU Fall Meeting Abstracts 2023 (832), GC51O-0832, 2023
2023 Machine Learning Training Images Repository (1.0.0) MM Morales, M Pyrcz
https://doi.org/10.5281/zenodo.7702128, 2023
2023 Improved Estimation of Two-Phase Capillary Pressure with Nuclear Magnetic Resonance Measurements via Machine Learning O Raheem, MM Morales, W Pan, C Torres-Verdín
Available at SSRN 5051272, 0
Mohamed MehanaLos Alamos National LabBestätigte E-Mail-Adresse bei lanl.gov