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Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport 期刊论文
, 2020, 卷号: 141
作者:  He Q.;  Barajas-Solano D.;  Tartakovsky G.;  Tartakovsky A.M.
收藏  |  浏览/下载：124/0  |  提交时间：2020/07/28
Deep neural networks  Hydraulic conductivity  Learning systems  Porous materials  State estimation  Accuracy of parameters  Computational costs  Concentration fields  Concentration Measurement  Data assimilation  Governing equations  Parameter and state estimation  Subsurface transport  Parameter estimation  artificial neural network  data assimilation  hydraulic conductivity  hydraulic head  porous medium  subsurface flow  transport process  
Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC 期刊论文
, 2020, 卷号: 141
作者:  Reuschen S.;  Xu T.;  Nowak W.
收藏  |  浏览/下载：15/0  |  提交时间：2020/07/28
Markov chains  Monte Carlo methods  Tempering  Conditional probabilities  Ensemble Kalman Filter  Gaussian assumption  Geostatistical inversion  Geostatistical models  Markov chain Monte Carlo method  Multiple-point geostatistics  Parallel tempering  Gaussian distribution  Bayesian analysis  Gaussian method  geostatistics  Kalman filter  Markov chain  Monte Carlo analysis  steady-state equilibrium  
Effects of variable-density flow on the value-of-information of pressure and concentration data for aquifer characterization 期刊论文
, 2020, 卷号: 135
作者:  Yoon S.;  Lee S.;  Williams J.R.;  Kang P.K.
收藏  |  浏览/下载：22/0  |  提交时间：2020/07/28
Aquifers  Hydrogeology  Information theory  Kalman filters  Aquifer characterization  Ensemble Kalman Filter  Joint inversion  Mutual informations  Value of information  Variable-density flows  Transport properties  aquifer characterization  concentration (composition)  data inversion  density current  Kalman filter  pressure  saline intrusion