... oil recovery in fractured low-permeability reservoir. Artificial Intelligence reservoir simulation Modeling & Simulation waterflooding enhanced recovery optimization problem flow in porous media Upstream Oil & Gas injection efficiency injector simulation model streamline-based...

... production thermochemical reaction oil sand SAGD Upstream Oil & Gas enhanced recovery optimization problem recovery process novel heavy oil recovery process algorithm self-adaptive differential evolution NPV reaction society of petroleum engineers evolutionary algorithm machine learning...

.... The proposed model can be employed as a practical gas lift optimization tool. More importantly, it gives the opportunity for simultaneously exploiting the strengths of both hard-computing and soft-computing algorithms. Artificial Intelligence gas lift optimization problem Mscfd gas case simulator...

... of similar reservoirs. waterflooding tight-low permeability reservoir Artificial Intelligence breakthrough optimization problem injector recovery factor Reservoir Heterogeneity well pattern oil distribution tight low permeability reservoir Waterflood Development producer permeability...

... and extend pump life. Artificial Intelligence internet of things apc application Engineering optimization problem oilfield artificial lift system Upstream Oil & Gas ESP envelope flow compliance objective operation esp speed oil production APC Oil Well Choke Valve well performance...

... vetting to make sure the final set of identified opportunities are geologically sound, meet various validation criteria, and are feasible given the operational constrains. optimization problem Upstream Oil & Gas Artificial Intelligence drilling operation reservoir simulation development...

... optimization problem fine-scale model flux approximation scaling method media permeability grid Scenario unstructured grid reservoir simulation flow scenario discrete fracture model coarse model equation SPE-192405-MS Multiple Scenarios Integrated Upscaling with Full Tensor Effects of Fractured...

... multiphase flow models for wells focus on obtaining good values for the most important input parameters. Reservoir Surveillance production control Artificial Intelligence data quality optimization problem multiphase flow absolute error roughness selection medium effect flow metering Fluid...

... chemical flooding methods neural network viscosity forward-looking ann model ANN model Oil Recovery polymer injection project slug size day time application polymer solution design scheme optimization problem concentration inverse design ann model flow rate profile equation design...

.... Directional Drilling optimization problem Artificial Intelligence drilling operation Upstream Oil & Gas trajectory hold section obstacle well vertical section minimum distance well planning trajectory design obstacle turn section vector tangent line cluster well well trajectory axis...

... as a handy tool for reservoir engineer to select the best ASP flood parameters to achieve maximum NPV. machine learning Artificial Intelligence viscosity chemical flooding methods Upstream Oil & Gas evolutionary algorithm optimization problem polymer flooding oil production rate reservoir...

... geomechanics iteration optimization problem Upstream Oil & Gas curvature samuel criterion in-situ stress complexity FireFly society of petroleum engineers wellbore design wellbore length obstruction wellbore integrity well path optimal solution side profile application Introduction...

... Abstract Assisted history matching approach has been arisen in the last few decades in an attempt to make the process of history matching faster and easier. Assisted history matching simply involves converting the history matching problem to an optimization problem. One main aspect...

... the investigation of its validity to include two phase-flow and convection-dominated flow and evaluate the ability of the methodology to predict the dynamic performance of the reservoir during pseudo-steady state flow regime. Artificial Intelligence optimization problem machine learning fmm cumulative oil...

... requires an integrated approach to ensure outcomes that are consistent with the reality of the field. flow control equipment constraint Exhibition enhanced recovery reservoir simulation reservoir simulator Completion Monitoring Systems/Intelligent Wells optimization problem ICD design...

... has been optimized. Artificial Intelligence Upstream Oil & Gas drilling rate Directional Drilling inclination angle accuracy body axis optimization problem specific energy trajectory drilling parameter drill bit current position ROP BHA real time system drilling operation...

... application geomechanical property Reservoir Characterization reservoir geomechanics wellbore integrity hydraulic fracturing Wellbore Design optimization problem pore pressure surface drilling data fracable rock completion optimization unconventional reservoir fracture real time system...

... coning models, to define the optimum production controlling parameters to achieve optimum economic recoverable oil volumes in water drive oil reservoirs. flow in porous media optimization problem perforated interval Fluid Dynamics Modeling & Simulation Upstream Oil & Gas sensitive...

.... Artificial Intelligence Upstream Oil & Gas enhanced recovery steam-assisted gravity drainage recovery configuration production rate SAGD oil production TTH configuration vertical well thermal method optimization problem viscosity steam flooding horizontal well reservoir heavy oil...

... optimization algorithms for the estimation of the operational parameters of the PAG process. evolutionary algorithm optimization problem machine learning Artificial Intelligence enhanced recovery chemical flooding methods polymer particle Sensitivity Study objective function PSO optimization...