Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract   ,  formulate the permeability inverse problem in the Bayesian framework using total variation (TV) and  fp  (0    δ 2) regularization prior.  use the Markov Chain Monte Carlo (MCMC) method for sampling the posterior distribution to solve the ill-posed inverse problem.  present simulations to estimate the distribution for each pixel for the image reconstruction of the absolute permeability.
['Thilo Strauss', 'Xiaolin Fan', 'Shuyu Sun', 'Taufiquar Khan']
I am writing a research paper on a idea Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow☆
[{"from": "human", "value": "I am writing a research paper on a idea Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow\u2606"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract   ,  formulate the permeability inverse problem in the Bayesian framework using total variation (TV) and  fp  (0\u00a0   \u03b4 2) regularization prior.  use the Markov Chain Monte Carlo (MCMC) method for sampling the posterior distribution to solve the ill-posed inverse problem.  present simulations to estimate the distribution for each pixel for the image reconstruction of the absolute permeability."}]