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Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder 期刊论文
, 2020, 卷号: 142
作者:  Liu M.;  Grana D.
收藏  |  浏览/下载：27/0  |  提交时间：2020/07/28
Aquifers  Boreholes  Carbon capture  Carbon dioxide  Convolution  Digital storage  Forecasting  Geological surveys  Hydrogeology  Inverse problems  Large dataset  Offshore oil well production  Petrophysics  Porosity  Seismology  Stochastic systems  Carbon dioxide sequestration  Deep saline aquifers  Ensemble-based method  Machine learning methods  Monitoring measurements  Petro-physical characterizations  Petrophysical properties  Stochastic approach  Learning systems  accuracy assessment  aquifer  carbon dioxide  carbon sequestration  carbon storage  leakage  monitoring  permeability  physical property  porosity  precision  underground storage  
Indicator-based data assimilation with multiple-point statistics for updating an ensemble of models with non-Gaussian parameter distributions 期刊论文
, 2020, 卷号: 141
作者:  Kumar D.;  Srinivasan S.
收藏  |  浏览/下载：43/0  |  提交时间：2020/07/28
Channel capacity  Gaussian distribution  Gaussian noise (electronic)  Groundwater  Groundwater flow  Groundwater pollution  Linear transformations  Concentration profiles  Ensemble based data assimilation  Ensemble Kalman Filter  Multiple-point statistics  Non Gaussian parameters  Non-linear transformations  Spatial characteristics  Subsurface heterogeneity  Geologic models  algorithm  data assimilation  ensemble forecasting  Gaussian method  groundwater flow  heterogeneity  Kalman filter  spatial distribution  uncertainty analysis