Các bài viết có thể truy cập công khai - Michael GrossTìm hiểu thêm
Không có ở bất kỳ nơi nào: 3
Conductive and propped networks of induced hydraulic fractures and reactivated fracture networks-Evidence from the HFTS-1 in situ experiments
M Gross, W Dershowitz
Unconventional Resources Technology Conference, 13–15 June 2023, 1498-1504, 2023
Các cơ quan ủy nhiệm: US Department of Energy
Real-time hydraulic fracturing monitoring using deep learning clustering of microseismic data
C Duan, L Huang, M Gross, M Fehler, D Lumley
Second International Meeting for Applied Geoscience & Energy, 1526-1530, 2022
Các cơ quan ủy nhiệm: US Department of Energy
Stratigraphic Analysis of Microseismic Signatures During Hydraulic Stimulation
NJ Welch, L Huang, MR Gross, S Glubokovskikh
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2022-2258, 2022
Các cơ quan ủy nhiệm: US Department of Energy
Có tại một số nơi: 10
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
S Srinivasan, D O’Malley, MK Mudunuru, MR Sweeney, JD Hyman, ...
Scientific Reports 11 (1), 21730, 2021
Các cơ quan ủy nhiệm: US Department of Energy
Physics-informed machine learning for real-time unconventional reservoir management
MK Mudunuru, D O'Malley, S Srinivasan, JDH Hyman, MR Sweeney, ...
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2020
Các cơ quan ủy nhiệm: US Department of Energy
A physics-informed machine learning workflow to forecast production in a fractured Marcellus shale reservoir
MR Gross, JD Hyman, S Srinivasan, D O’Malley, S Karra, MK Mudunuru, ...
Unconventional Resources Technology Conference, 26–28 July 2021, 3641-3648, 2021
Các cơ quan ủy nhiệm: US Department of Energy
Molecular insights into the impact of surface chemistry and pressure on quartz wettability: resolving discrepancies for hydrogen geo-storage
R Zheng, TC Germann, M Gross, M Mehana
ACS Sustainable Chemistry & Engineering 12 (14), 5555-5563, 2024
Các cơ quan ủy nhiệm: US Department of Energy
Pancake joints in Utica gas shale: Mechanisms for lifting overburden during exhumation
T Engelder, M Gross
Journal of Structural Geology 117 (241), 250, 2018
Các cơ quan ủy nhiệm: US National Science Foundation
Monitoring of subsurface fracture flow using unsupervised deep learning for borehole microseismic waveform data
C Duan, L Huang, M Gross, M Fehler, D Lumley, S Glubokovskikh
IEEE Transactions on Geoscience and Remote Sensing, 2024
Các cơ quan ủy nhiệm: US Department of Energy
Incorporating Heterogeneity into 3D Geologic Models for the Alluvial Basin Reference Case
MR Gross, EJ Guiltinan, DM Milazzo, TA Miller, E Swanson, ED Miller, ...
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2022
Các cơ quan ủy nhiệm: US Department of Energy
Unsaturated alluvium disposal modelling with improved geological realism
FT Good, T LaForce, M Gross, TA Miller, E Guiltinan, K Swager, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2023
Các cơ quan ủy nhiệm: US Department of Energy
Advances in 3D Geologic Modeling of Alluvial Basins with a Focus on Facies and Property Modeling
MR Gross, T LaForce, EJ Guiltinan, DM Milazzo, TA Miller, E Swanson, ...
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023
Các cơ quan ủy nhiệm: US Department of Energy
Applying 3D Geologic Modeling Workflows to the Argillite Reference Case (Rev. 1)
MR Gross, EC Alberts, DM Milazzo
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2022
Các cơ quan ủy nhiệm: US Department of Energy
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