... machine learning well control artificial intelligence annular pressure drilling log analysis hydraulic fracturing upstream oil & gas nonlinear projection relationship multi-layer linear calculator evolutionary algorithm drilling fluid management & disposal drilling fluids...

... objective function simulation run neuron quadratic proxy water production initial population coefficient optimisation process dataset evolutionary algorithm history matching proxy vector optimisation algorithm simulation case proxy model Introduction The history matching process...

.... There are several commercial assisted history matching tools and workflows to facilitate and orchestrate this process. This paper provides performance assessment and process evaluation between two of the commonly used optimization algorithms: the Evolutionary Algorithm (EA) and the Ensemble Smoother with Multiple...

... (combination of GA and PS) to improve the efficiency and accuracy of the conventional ANN for drilling optimization. machine learning drilling fluids and materials drilling fluid management & disposal evolutionary algorithm drilling time neural network drilling optimization drilling operation...

... packages of reservoir simulations. evolutionary algorithm bubble point pressure Ahmadi machine learning Upstream Oil & Gas point pressure PVT measurement fish mbf algorithm iteration determination society of petroleum engineers classic approach algorithm equation mohammad ebadi...

... available data with high confidence. The method was applied to Bohai oil field which is effective for establishing well interaction pattern. Recommendations were given to improve waterflood efficiency. Artificial Intelligence enhanced recovery machine learning waterflooding evolutionary algorithm...

... coefficient coefficient Interwell Connectivity production well connectivity injection pressure gradient evolutionary algorithm waterflooding oil field injection well low permeability reservoir Equilibrium zone reservoir capacitance-resistance model reservoir simulation water injection...

... the learning index comes from adjacent well. evolutionary algorithm complex reservoir knowledge management shale gas platform fitness function genetic algorithm machine learning optimization problem drilling time dimensionless drilling time single well drilling cost Artificial Intelligence...

... of condensate banking in gas-condensate reservoirs. evolutionary algorithm optimization problem Condensate gas Ratio machine learning condensate reservoir uncertainty analysis Reservoir Characterization complex reservoir condensate blockage recovery genetic algorithm well location gas...

... optimization. evolutionary algorithm complex reservoir fracture conductivity application hydraulic fracture machine learning optimization problem fracture network model geometry fractal fracture network hydraulic fracturing Simulation workflow complex fracture network Artificial...

... the previous consideration regarding EOR attractiveness and open new opportunity for EOR implementation in Indonesia. enhanced recovery predictive model Hakiki procedure reservoir evolutionary algorithm oil production Indonesia Implementation minas field Artificial Intelligence assessment...

... parameterisation evolutionary algorithm forecasting convergence Artificial Intelligence credible interval objective uncertainty quantification optimisation history matching parameterisation different objective model parameterisation reservoir simulation misfit value Christie objective space AHM...

.... Artificial Intelligence population-based algorithm optimization problem Simulation evolutionary algorithm machine learning model management strategy Upstream Oil & Gas well placement optimization fidelity algorithm probability placement optimization fitness value surrogate-assisted...

... complex reservoir fracture intensity fracture conductivity modeling & simulation upstream oil & gas calibration shale gas reservoir fracture network object property porosity evolutionary algorithm hydraulic fracturing shale reservoir history proppant workflow intensity reservoir...

... be incorporated into a reservoir simulator and it can serve as yet another useful experimental protocols design tool. enhanced recovery evolutionary algorithm Upstream Oil & Gas physical property co 2 specific gravity gabased model flue gas solubility Artificial Intelligence machine learning...

... evolutionary algorithm machine learning gas injection method enhanced recovery minimum miscibility pressure Artificial Intelligence co 2 nc 5 Alston Sebastian impure co 2 chemical flooding methods Upstream Oil & Gas correlation composition genetic algorithm impure co2...

... model reservoir simulation machine learning isga-pp individual 50 msga-pp society evolutionary algorithm ga operator operator reservoir characterization permeability Introduction Since early 1990's, geostatistical and stochastic methods have been applied to reservoir characterization...

... and demonstrated its capability of grid block parameter optimization. velocity case fluid dynamics flow in porous media upstream oil & gas new population saturation differential pressure relative permeability experiment lithofacies machine learning evolutionary algorithm fitness function...

... and more important role in profile modification, water shutoff and enhanced oil recovery in heterogeneous reservoir. reservoir optimization evolutionary algorithm permeability value high permeability belt enhanced recovery application permeability prediction artificial intelligence operation...

... decision making in the oil and gas industry. A worked example for a hypothetical company is then used to demonstrate the potential impact of using the technique. spe 68725 evolutionary algorithm capital budget project npv offspring investment decision constraint project valuation artificial...