... production monitoring proactive optimization algorithm criteria production logging optimization optimization problem completion monitoring systems/intelligent wells workflow reservoir surveillance lateral production control ensemble realization ensemble-based proactive optimization...

... and drilling engineers with information about possible problem areas and opportunities during drilling. The new approach to wellbore trajectory design will make the well planning more interactive, robust and time-effective. optimization problem advanced visualization tool optimized well drilling...

... directional drilling fishbone wells dynamic model well trajectory technology conference complex reservoir upstream oil & gas enhancement workflow randomizer forecast optimization problem drilling operation rotation randomizer well spacing configuration generate reliable production forecast...

.... However, the relative reduction in emissions is larger than the relative reduction in oil production. optimization problem injector placement well control modeling & simulation injector oil production different injector location producer artificial intelligence upstream oil & gas...

... to the existing research on reservoir management challenges. Abstract The Olympus field is an optimization case prepared by TNO to test different optimization methods and workflows for field development. The authors have joined the Olympus optimization challenges by solving various optimization problems...

... would give impractically slow results (e.g. short-term operational forecasting for very big networks). integrated asset modeling upstream oil & gas artificial intelligence constraint optimization problem nonlinear problem gale algorithm expression reservoir flow rate nonlinear...

... and heterogeneous reservoir scenarios differ significantly. artificial intelligence constraint prediction reservoir simulation rmse value optimization problem objective function injection well machine learning upstream oil & gas xgboost algorithm well placement production well gradient...

... against line search method in ensemble-based production optimization. reservoir simulation enhanced recovery waterflooding optimization problem trust-region method Hessian matrix optimization novel ensemble-based conjugate gradient method derivative convergence algorithm Artificial...

... the gap between developments in formation evaluation and reservoir mapping on one side, and automation of the drilling process on the other. Hence, the approach creates value based on the existing instrumentation and technology. risk management Artificial Intelligence optimization problem...

... parameter secondary recovery reserves evaluation secondary recovery life time two-factor production model optimization problem recovery mechanism information life time decision tree realization lsm algorithm optimal ior switch time Artificial Intelligence decision policy Upstream Oil...

... method optimization problem Engineering optimization application production optimization matrix simulation time step Lorentzen time step fonseca covariance matrix subproblem Introduction Much of the recent development in production optimization was made available for closed-loop...

... casing and cementing optimization problem wellsite well control annular pressure drilling drill pipe well abandonment complexity operation innovative approach subsea well cement and bond evaluation Upstream Oil & Gas RLWI vessel operational sequence complexity Scenario coiled tubing...

... error flow in porous media objective function capillary pressure data Levenberg Artificial Intelligence particle swarm method relative permeability capillary pressure curve Marquardt method optimization problem mathematical correlation relative permeability curve algorithm capillary...

... simulation model real time system optimization problem oil field Seminole field Injection Rate porosity workflow Modeling & Simulation Reservoir Characterization field pilot research program Reservoir Management operation Oil Recovery reservoir injection flow zone permeability...

... number of producers and injectors, clearly indicates improved project revenues with a comparable computational effort. Artificial Intelligence injector time step waterflooding rate optimisation optimization problem objective function well rate optimisation NPV optimisation sweep...

.... Standard interfaces are further required in order to apply input from third party models or correlation tables. We consider mixing scenarios where the domain of the optimization problem is constrained by the type and quantity of additives available on the rig site, and where automated sensors and computer...

...) ( Boyd et al., 1994 ). In SDP, we can also include constraints, in terms of linear matrix inequality in the variables ( v ^ , e ^ , ξ ^ ) , to our optimization problem. Here, though MPC calculates the optimizing solution until T M -steps ahead, we only use the optimizing...

...) and Elmsallati et al. (2005) . Uncertainty Management - The above-described methods address optimization problems for a single (i.e., a case of known geology) model realization. Using multiple realizations of reservoir models (the so called ensemble) is the most common approach to represent geological...