... objective function interaction parameter fraction molecule equation of state Upstream Oil & Gas petroleum fluid reservoir modeling correlation eos eos workflow uncertainty optimal number EOS model fluid characterization society of petroleum engineers Introduction Currently...

... distribution functions (CDF) of the objective function (OF) of the full and reduced ensembles should be minimal. This allows the method to determine the smallest subset of realizations that both spans the range of uncertainties and provides an OF CDF that is representative of the full ensemble based...

... to the Brugge field is presented in order to optimize the waterflooding strategy. Reservoir Characterization enhanced recovery waterflooding reservoir simulation machine learning neural network optimization artificial neural network sharpe ratio application objective function NPV Artificial...

... convergence machine learning optimization problem objective function amplitude society of petroleum engineers coefficient history matching multiplier uncertainty quantification permeability model discrete cosine transformation permeability Introduction The most common problem in reservoir...

.... The algorithm we present uses the approximate information of Jacobians achieved through composite-step computation, which eliminates the cost of direct calculation of Jacobians and Hessians (gradients). The gradient information that provides criticality measure of the objective function is calculated using...

... explore parameter space combined with the least squares single objective function. The process of AHM can adopt parameterization and realization methods to reduce inverse problems. In this study, realizations of various reservoir properties such as porosity, net to gross, relative permeability, horizontal...

... and then continued to a regional level. The primary objective function is consisted of oil and water production mismatches, and the plan is to upgrade the objective function to include more parameters for further model HM enhancements. Initially, the workflow was based on five uncertainty parameters. Ten...

... Abstract In field development and management, optimization has turned out to be an integral component for decision-making. Optimization involves computationally intensive complex formulations but simplifies making decisions. For reaching the optimal solution to a defined objective function...

... history matching neural network Uncertainty Assessment Sandstone Reservoir production forecasting society of petroleum engineers proxy workflow reservoir objective function giant multi-layered sandstone reservoir neuron multi-layered sandstone reservoir optimal ann Introduction...

... uncertainty. EnOpt is a simulator-independent technique which attempts to maximize an objective function by iteratively updating an ensemble of control variables along the direction of an estimated gradient. This method was applied for the control optimization of a 6-wells model inspired on a real field case...

... learning objective function optimization run Upstream Oil & Gas well placement optimization algorithm optimization algorithm optimization problem optimization genetic algorithm well location ICA competition simulation imperialist reservoir model Artificial Intelligence empire...

... by introducing an additional term, called a penalty function, to the objective function. These constraint-handling techniques are applied to two different reservoir production cases. The first case is a simple problem where the PSO algorithm is implemented with a particular bound and a well length constraint...

... on the dynamics of both fluids systems. Application of ESA using the variables identified on stage 1, analyzing several simulation models and using an objective function to quantify the miss match from our ideal model. Optimization of the proposed wells, evaluation of areas with exploitation potential...

... between packers), location of packers and ICDs flow area were simultaneously optimized to determine the best completion options for the candidate well using an objective function that included both; the value of oil and the cost of water. The ICD flow area per compartment was reverse engineered...

... parameter production history evolutionary strategy objective function experiment comprehensive approach society of petroleum engineers algorithm proxy model permeability Upstream Oil & Gas History adjustement match quality realisation Background Reliable production forecasting...

... and monitoring plan have been defined accordingly to reduce the major impacting uncertainties. Artificial Intelligence Upstream Oil & Gas history matching Modeling & Simulation objective function variation spe 165978 multiplier reservoir simulation response factor gas injection...

... Control Valves (ICVs), and their inflow settings is presented. The overall optimisation scheme uses the simulated annealing algorithm in conjunction with a commercial reservoir simulator to maximize an objective function that captures the mean and variance in the well's estimated value. Multiple...

... bounds of the objective function such that the objective function can be written in a different form, whereas in reality, the short-term and long-term optimization are performed with the same objective but different methods. The idea is then to solve a bi-objective optimization problem using an adjoint...

... Completion Monitoring Systems/Intelligent Wells reservoir simulation property workflow flow area horizontal well flow control device modeling workflow wellbore length compartment control device uniform nozzle size compartment optimization problem objective function simulation model lwd...

... oil recovery expectations using this automated workflow as the foundation. reservoir simulation constraint optimization problem injector scenario 2 scenario 1 decision variable enhanced recovery waterflooding objective function reservoir pressure VRR optimizer production rate base...