... experimental data mean square error production control activation function pipe backpropagation network network model artificial intelligence correlation pressure loss frictional pressure loss two-phase flow jordan elman flow pattern transition mechanistic model reservoir surveillance...

... processor heterogeneity architecture upstream oil & gas flow in porous media well logging reservoir neuron log analysis permeability neural network development well network model artificial intelligence fluid dynamics input variable neural network model machine learning...

... recovery, and production gas-oil ratio. We studied the mechanism of bubble growth in an etched glass micro-model of porous media with concomitant network modelling. Bubble growth from sizes smaller than a pore to the sizes covering several pores is investigated. Movements of the gas-liquid interfaces...

... state university flow in porous media chatzis permeability damage particle transport process upstream oil & gas modeling network model pore throat size distribution simulation particle aiche journal pore space water phase fluid flow fluid dynamics ioannidis pore scale...

... on the break-up of a solitary bubble. An important result is that, bubble break-up is more likely to happen in network model runs with high pressure gradients. Also the model shows that bubble break-up time increases with increasing oil viscosity. Therefore, it is unlikely that the large number of small...