... experiment optimization problem concentration machine learning Bayesian Inference Bayesian optimization workflow future reservoir-scale simulation uncertain parameter History Match surfactant injection oil saturation adsorption coefficient sensitivity analysis influential parameter society...

... Bayesian Inference Upstream Oil & Gas Artificial Intelligence history matching model parameter algorithm prediction uncertainty numerical sensitivity calculation estimation sensitivity calculation spe 164337 production data ensemble ensemble Kalman filter adjoint formulation workflow...

... logs. Some indirect indicators have no direct link to image logs and a Bayesian inference has to be used to find the conditional probability through an intermediate indicator. For example, the probability of having a fracture corridor given step flow profile is calculated from the conditional...

... drillstem/well testing pressure transient testing bayesian inference pressure data wellbore probe pressure coefficient pressure transient analysis packer pressure permeability model parameter gridblock variance sensitivity heterogeneous model homogeneous model heterogeneity packer map...

... scale fluid dynamics data integration geologic modeling bayesian inference upstream oil & gas integration precision markov random field random field monte carlo machine learning conditional distribution realization mrf amplitude full conditional distribution porosity distribution...