... placement. Such approaches can be integrated in current greenfield and brownfield reservoir engineering workflow to drastically reduce decision making times. united states government artificial intelligence upstream oil & gas optimization problem machine learning geology algorithm...

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... systems. Then, a smaller optimization problem is formulated for each sub-network. These sub-network optimization problems are solved in parallel using multiple computer cores so that the entire system optimization will be accelerated. A large-scale surface network involves many inequality and equality...

... commonly gathered data to quickly and effectively diagnose fracture efficacy shortly after pumping and finally accelerate their learning curve ahead of their capital spending. geologist drillstem/well testing pressure transient testing united states government optimization problem drillstem...

.... This framework also provides guidelines for selecting surrogate models predicting process variables and corrosion rates. These models can eventually be coupled with multi-objective optimization algorithms for control purposes. flowline corrosion materials and corrosion optimization problem corrosion...

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... of drilling as well as reducing the required drilling time. bit selection drilling fluid management & disposal drilling operation optimization problem machine learning artificial intelligence upstream oil & gas caribbean petroleum engineering conference bit wear presented optimization...

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... of this work is the description of optimized combustion reaction models with rigorous experimental verification and uncertainty quantification for reactive transport simulations. enhanced recovery optimization problem artificial intelligence complex reservoir oil sand sagd upstream oil & gas...

... as an useful surrogate model for both fast and reliable decision-making in reservoir management. artificial intelligence machine learning optimization problem history matching reservoir characterization reservoir simulation injector prediction producer optimal case observation data well point...

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.... enhanced recovery thermal method optimization problem SAGD steam-assisted gravity drainage Artificial Intelligence Upstream Oil & Gas oil production workflow decision parameter proxy model propane solvent injection genetic algorithm injection modeling sa process application multi...

... complex reservoir optimization problem hydraulic fracturing EDFM simulator uncertain parameter subsurface history matching workflow natural fracture realization sepehrnoori Scenario discrete fracture model permeability matrix permeability history Upstream Oil & Gas fracture network...

... of the Pareto front, which shows a set of optimal solutions, provides a visual trade-off for decision makers and enables them to select a strategy that minimizes the cost, but does not sacrifice too much of the 12-month oil production. optimization problem Upstream Oil & Gas Artificial Intelligence...

... recovery steam-assisted gravity drainage scenario 1 NPV base case machine learning optimization problem scenario 2 workflow system identification thermal method SAGD prediction horizon operation steam injection rate Artificial Intelligence Upstream Oil & Gas steam generating capacity...

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... significant improvements in the production performance when the uncertainty in future field development planning is considered in the optimization problem. We conclude that incorporating the uncertainty in future development offers flexibility and robustness to accommodate alternative development options...

... connectivity pattern realization machine learning approximation facies facies model algorithm formulation feasibility constraint continuous solution calibration optimization problem society of petroleum engineers khaninezhad regularization history matching Introduction Automatic history...

... porosity data. Additionally, a case study has been conducted using measured core permeability data in a heterogeneous reservoir to demonstrate the viability of the technology. geological modeling Reservoir Characterization geologic modeling fuzzy logic optimization problem input data Artificial...

... optimizing multiple metrics or multiple drivers. Artificial Intelligence constraint long-term npv waterflooding oil production optimization problem objective function OPC Pareto front water production maximization multiobjective optimization water injection NPV injection enhanced...