... & gas reservoir simulation optimization problem united states government asset and portfolio management asia government modeling & simulation production monitoring machine learning realization frequency calculation reservoir surveillance reservoir characterization pce polynomial chaos...

... monitoring production control node spe reservoir evaluation evolutionary algorithm perforation upstream oil & gas optimization problem reservoir surveillance machine learning information reynolds imaginary node paper prediction model aquifer node texas simulator equation Closed...

... handle uncertainty, and the data-driven model may forecast out of the physical range of the model output parameters. As a result, data-driven process modeling incorporating physical or operational constraints and an optimization problem formulation that references a decision-makers' metrics...

... and uncertainty assessment optimization evolutionary algorithm reservoir simulation risk management decision support system game theory optimization problem artificial intelligence mean-variance optimization well placement optimization decision-making waterflooding asset and portfolio management...

... EOR injection strategies that maximize the annually discounted economic values of the injected and production data. The control variables of optimization problems include EOR gas rate or chemical concentration, water rates, oil rate, or bottomhole pressures. An ensemble-based optimization method...

... optimization problems when the number of control variables was limited to four. However, to be useful in petroleum engineering, where there can be many control variables, an optimization workflow must be capable of handling larger MOO. Therefore, we wanted to use more control variables to test whether...

... storage and oil recovery. The optimization problem was focused on joint estimation of well completions (i.e., fraction of injection/production well perforations in each reservoir layer) and CO 2 injection/oil production controls [i.e., rates or bottomhole pressures (BHPs)] that maximize the net present...

... punq-s3 model drainage curve spe-5 model miscible method fluid dynamics development scenario spe reservoir evaluation spe reservoir evaluation & engineering optimization problem wag development scenario hysteresis case hysteresis model The Killough model provides a method...

...Mohammad Salehian; Morteza Haghighat Sefat; Khafiz Muradov Summary Field development and control optimization aim to maximize the economic profit of oil and gas production. Mathematically, this results in a complex optimization problem with a large number of correlated decision (also known...

... in which nonlinearities are not strong, as is the case often for well-control optimization. This fact is supported by the good performance in these types of optimization problems of techniques that rely strongly on linearity assumptions, such as trajectory piecewise linearization, a procedure...

... geological modeling production control reservoir surveillance machine learning flow in porous media chemical flooding methods directional drilling artificial intelligence optimization problem drilling operation geologic modeling reservoir characterization enhanced recovery asset and portfolio...

... recovery machine learning evolutionary algorithm thermal method artificial intelligence sagd asset and portfolio management optimization problem shale oil gas injection method oil shale field development optimization and planning objective function calculation oil production reservoir...

... optimization problem gas injection method posterior distribution objective function usa cumulative oil production hnp performance oil recovery algorithm reservoir steam-assisted gravity drainage model parameter optimization method sensitivity analysis sagd upstream oil & gas iteration oil...

... optimization problem compressibility porosity css permeability oil sand hysteresis fracture complex reservoir spe reservoir evaluation fraction peace river saturation recompaction pressure bitumen february 2021 steam stimulation To maximize the recovery from the reservoirs at Peace...

...-control optimization, and the joint optimization of these two aspects. For the joint-optimization problem, both the simultaneous approach and sequential approach are considered. A net-present-value (NPV) formula for evaluation of the steamflooding project is proposed, and optimization runs are conducted...

... assimilation. Fig. 1 illustrates the key elements of the CLRM process (Jansen et al. 2009). Fig. 1 Key elements of CLRM (after Jansen et al. 2009 ). machine learning enhanced recovery production control optimization problem artificial intelligence production monitoring modeling...

... control geological modeling reservoir surveillance well logging flow in porous media log analysis complex reservoir miscible method fluid dynamics gas injection method reserves evaluation asset and portfolio management reservoir model optimization problem carbonate reservoir history...

... constraint optimization optimization problem Engineering Reservoir Management enhanced recovery Upstream Oil & Gas oil production application SPE Reservoir Evaluation procedure water production Implementation cumulative oil production reservoir model reservoir simulation gas production...

... Reservoir Characterization optimization problem SDR geologic modeling Artificial Intelligence SSD Reservoir Characterization optimization problem Deutsch geological modeling SAGD stochastic dominance geological uncertainty feasible action realization thermal method enhanced recovery...

... coordinate Artificial Intelligence Upstream Oil & Gas FD simulation SPE Reservoir Evaluation fracture permeability Upstream Oil & Gas FD simulation SPE Reservoir Evaluation optimization problem Simulation dtof contour fracture Modeling & Simulation huff fmm-based simulation...