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Keywords: objective function
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Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, September 17–19, 2019
Paper Number: SPE-196643-MS
... to the Brugge field is presented in order to optimize the waterflooding strategy. Reservoir Characterization machine learning neural network reservoir simulation Artificial Intelligence optimization objective function application NPV optimization problem configuration Upstream Oil & Gas...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, September 17–19, 2019
Paper Number: SPE-196637-MS
... 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...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, September 17–19, 2019
Paper Number: SPE-196629-MS
... of state petroleum fluid correlation eos optimal number Upstream Oil & Gas reservoir modeling society of petroleum engineers fluid modeling objective function interaction parameter fraction molecule eos workflow uncertainty EOS model fluid characterization Introduction Currently...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, September 17–19, 2019
Paper Number: SPE-196666-MS
.... 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...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, September 17–19, 2019
Paper Number: SPE-196678-MS
... 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...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, September 17–19, 2019
Paper Number: SPE-196686-MS
... relationship porosity amplitude society of petroleum engineers correlation convergence uncertainty quantification permeability objective function multiplier permeability model discrete cosine transformation History coefficient history matching Introduction The most common problem...
Proceedings Papers
Ahmed Ismail, Yasser Hazem, Mazna Naji Al Obaidi, Kirill Bogachev, Evgenii Gusarov, Konstantin Shelepov, Maksim Kuzevanov
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, September 17–19, 2019
Paper Number: SPE-196729-MS
... 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...
Proceedings Papers
Chenji Wei, Yuhe Wang, Yutao Ding, Yong Li, Jing Shi, Shuangshuang Liu, Changbing Tian, Baozhu Li, Lihui Xiong, Qi Zhang
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, May 8–10, 2017
Paper Number: SPE-186069-MS
... of our uncertainty assessment workflow is demonstrated. The optimized ANN successfully captures the complex nonlinear dynamics as a proxy and significantly reduced the computation time. machine learning reservoir simulation objective function Artificial Intelligence history matching proxy...
Proceedings Papers
Cenk Temizel, Luigi Saputelli, Mehdi Nabizadeh, Karthik Balaji, Anuj Suhag, Rahul Ranjith, Zein Wijaya
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, May 8–10, 2017
Paper Number: SPE-185972-MS
... 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...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, September 14–16, 2015
Paper Number: SPE-175646-MS
... learning objective function optimization run Artificial Intelligence empire optimization algorithm application cumulative oil production optimization problem optimization genetic algorithm imperialist competition reservoir reservoir model Upstream Oil & Gas well placement optimization...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, September 14–16, 2015
Paper Number: SPE-175590-MS
... objective function. Therefore, the solution occurs at the boundary points (heel or toe) or at the point where the gradient of the objective function R(s i , s j ) is equal to zero: (11) ∇ R = 2 ( a s i − b s j + d − b s i + c s j − e...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition, September 14–16, 2015
Paper Number: SPE-175570-MS
... 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...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterization and Simulation Conference and Exhibition, September 16–18, 2013
Paper Number: SPE-165978-MS
... production Risk analysis Modeling & Simulation objective function multiplier uncertain parameter Scenario injection plateau length uncertainty analysis phase society of petroleum engineers Introduction The decision-making process for field development plans is facing new challenges...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterization and Simulation Conference and Exhibition, September 16–18, 2013
Paper Number: SPE-165962-MS
... 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...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterization and Simulation Conference and Exhibition, September 16–18, 2013
Paper Number: SPE-165990-MS
... uncertainty parameter Artificial Intelligence objective function experiment comprehensive approach evolutionary strategy society of petroleum engineers algorithm spe 165990 simulation case match quality realisation proxy model permeability Background Reliable production forecasting...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterization and Simulation Conference and Exhibition, September 16–18, 2013
Paper Number: SPE-165943-MS
... 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...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterization and Simulation Conference and Exhibition, September 16–18, 2013
Paper Number: SPE-166027-MS
... 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...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterization and Simulation Conference and Exhibition, September 16–18, 2013
Paper Number: SPE-166008-MS
... 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...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterization and Simulation Conference and Exhibition, September 16–18, 2013
Paper Number: SPE-166052-MS
... Completion Monitoring Systems/Intelligent Wells reservoir simulation property workflow optimization problem objective function flow control device wellbore length compartment drilling measurement spe 166052 flow area horizontal well modeling workflow lwd control device uniform nozzle size...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Characterization and Simulation Conference and Exhibition, September 16–18, 2013
Paper Number: SPE-166051-MS
... oil recovery expectations using this automated workflow as the foundation. reservoir simulation enhanced recovery waterflooding constraint objective function scenario 1 optimization problem injector scenario 2 VRR decision variable optimizer Artificial Intelligence Upstream Oil...
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