... cell treatment pressure training data Upstream Oil & Gas model training neural network BHP prediction step-down analysis time step response variable Slurry Rate pressure response surface pressure lstm recurrent neural network drnn model bhp prediction validation data validation...

... gas injection method information simulator surrogate model random forest model gazpromneft science prediction miscible gas injection artificial lift system gas injection Oil Field Development time step injection well society of petroleum engineers reservoir exogenous parameter dataset...

... values are calculated automatically from the history-matched reservoir simulation model during streamline tracing for associated time steps. Traditionally, the well VRR values are calculated via the formulation of well inflow performance relationship (IPR), which may result in suboptimal estimations...

... system and high computation expenses, where the time stepping is a crucial factor for numerical stability and computational efficiency. In this paper, an adaptive time stepping with the modified local error method was presented to reduce iteration time and improve the computation efficiency...

... or multiple time step(s), and the Geomechanics output, which includes new porosity and permeability values, is passed to the reservoir simulator for the next time step calculations. This procedure was introduced for the first time as modified Chin’s iterative coupling method ( Chin et al. 2002 ) and based...

... Abstract The fully implicit approach is attractive in reservoir simulation for reasons of numerical stability and the avoidance of splitting errors when solving multiphase flow problems, but a large nonlinear system must be solved at each time step, so efficient and robust numerical methods...

...) effective rock compressibility model, (2) pseudo-coupled model, (3) explicitly coupled model, (4) iteratively coupled model, and (5) fully coupled model. In the effective rock compressibility model, the porosity and rock compressibility are updated for every time step ( Geertsma 1973 ). For the pseudo...

... in a standard EnKF approach are discussed. Artificial Intelligence evolutionary algorithm optimization problem history matching Upstream Oil & Gas application time step ensemble member EnKF machine learning reservoir simulation initial pressure optimization process ensemble data...