... (5) d k = 1 N e ∑ j = 1 N e ( u k j − u k ) [ J ( u k j ) − J ( u k ) ] . The reminder of this paper proceeds as follows: The joint optimization problem will be introduced in the next section...

... EOR process which requires compositional flow simulation in hydraulically fractured unconventional oil reservoirs. artificial intelligence upstream oil & gas thermal method sagd constraint optimization case production bhp machine learning optimization problem injection period co 2...

... optimization problem injector oil production allocation optimization optimization period well pair rate allocation efficiency full optimization case production rate chemical flooding methods artificial intelligence upstream oil & gas optimization case streamline producer reference case...

... recovery Upstream Oil & Gas optimization problem fmm-based simulation co 2 fmm-based approach Artificial Intelligence Simulation diffusivity equation reservoir simulation FD simulation compositional simulation DTOF equation EOR fracture permeability eikonal equation incremental...

... t (4) C w t = ( P w p + P w t + P w i ) Q w i t + P w r Q w p t enhanced recovery Upstream Oil & Gas WAG ratio optimization problem optimal case waterflooding comprehensive optimization process Artificial...

..., and improving gas injectivity. That gives another privilege for the GDWSAGD process to reach significant improvement in oil recovery in comparison to other gas injection processes, such as the Gas-Assisted Gravity Drainage (GAGD) process, particularly in reservoirs with strong water aquifers. optimization...

... proxy. In addition, we demonstrate that simultaneous optimization of location and controls yields improvements over a sequential approach without any significant increase in computational cost. Artificial Intelligence geologic uncertainty Simulation optimization problem reservoir simulator...

... injector and to estimate the expected polymer concentration at the producing wells. Artificial Intelligence polymer injection enhanced recovery Upstream Oil & Gas optimization problem objective function Differential Evolution incremental oil production tracer concentration forecast...

... constraint parametric representation enhanced recovery Upstream Oil & Gas co 2 miscible method regression model wag schedule evaluation NPV injection machine learning optimization problem Simulation operation reservoir model Optima Scenario numerical simulation utilization society...

... history matching pressure drop optimization problem pressure data sensitivity bottomhole pressure sensitivity inversion matching gas-oil ratio sensitivity application permeability producer bottomhole pressure history matching reservoir simulation analytical sensitivity streamline Norne...

... optimization problem regime foam model experimental data experiment ug5 optimization algorithm foam parameter flow in porous media effective viscosity pressure gradient model parameter population balance society of petroleum engineers Introduction Foams are used to improve sweep efficiency...

... are the observed and calculated oil production rates at time step k for producer j , respectively, Swj is the watersaturation of producer j within drainage volume, Swi is the irreducible water saturationand Sor is the residual oil saturation. This is a nonlinear program optimization problem...

... flexibility, higher recovery efficiency, lower energy requirement/foot-print and ease in operation. enhanced recovery optimization problem divalent ion Artificial Intelligence smartwater flooding salinity configuration reservoir Upstream Oil & Gas composition carbonate flooding sandstone...

... optimization problem steam-assisted gravity drainage Artificial Intelligence complex reservoir Upstream Oil & Gas Fluid Dynamics producer realization intensity steam injection matrix oil concentration resolution optimized configuration thermal efficiency permeability connectivity...

... algorithm fluid modeling Artificial Intelligence Compressibility Factor optimization problem Mansoori enhanced recovery Upstream Oil & Gas deviation correlation machine learning equation of state calculation enthalpy coefficient adjustable parameter hydrogen bonding saturation pressure...

... Artificial Intelligence optimization problem Reservoir Surveillance Jansen investment base case reservoir model pressure drop water cut reservoir uncertainty Upstream Oil & Gas completion icv production monitoring reservoir simulation reactive control strategy recovery inflow irei...

... the net present value to a level comparable with the hypothetical case of optimizing based on known geology. enhanced recovery Artificial Intelligence optimization problem control variable history matching Upstream Oil & Gas reservoir simulation EnOpt geological property production rate...

... of geologic uncertainty in the outcome of the optimization is demonstrated both during the early stage and also, later stages of waterflooding when substantial production history is available. enhanced recovery waterflooding optimization problem Reservoir Characterization reservoir simulation...

... displacement experiments. machine learning reservoir simulation objective function Artificial Intelligence Upstream Oil & Gas displacement water saturation regression 0 flow in porous media Fluid Dynamics Power Law Model pressure drop simulator recovery procedure optimization problem...

... scale levels because the formal optimization problem includes computationally expensive objective function evaluations (field scale numerical simulation). The proposed methodology estimates the optimal values for a set of design variables (slug size and concentration of the chemical agents) to maximize...