... an increasingly integral role in the calibration of subsurface reservoir models to dynamic data. In a Bayesian fashion, the calibration process employs prior distributions for the uncertain parameters and the likelihood function to generate posterior distributions. Due to the impossibility of having a closed...

... in order to produce a posterior distribution of how likely the model is assimilating the data. In the computed BMA Occam's window, the best selected model has maximum posterior probability and minimum BIC; meanwhile, the non-influential predictors are eliminated when the probability of a nonzero predictor...

... machine learning calculation shale spe 88685 artificial intelligence reservoir rock well logging resistivity saturation posterior probability uncertainty distribution bayesian inference likelihood track show fraction neutron inversion posterior distribution log analysis upstream oil...