... the number of components used in compositional models. pvt measurement artificial intelligence united states government composition upstream oil & gas equation of state characterization partition algorithm component reservoir simulation machine learning regression lump clustering...

... simulation simulator gpu solver programming language presented linear iteration spe reservoir simulation symposium upstream oil & gas cobol scaling method operation realization speedup reservoir characterization spe reservoir simulation conference reservoir simulator cpu Introduction...

... the efficiency of underground hydrogen storage. corrosion management h2s management riser corrosion neural network materials and corrosion upstream oil & gas structural geology production chemistry pipeline corrosion deep learning oilfield chemistry reservoir characterization flowline...

... united states government reservoir characterization oscillation pressure jump stabilization engineering mesh aquifer co 2 upstream oil & gas discretization flow in porous media displacement jacobian matrix compositional poromechanic Introduction Geologic carbon sequestration...

... reservoir geomechanics permeability displacement table united states government equation of state enhanced recovery reactivation mole fraction vector upstream oil & gas reservoir simulation tendency canada government transmissibility multiplier storage unit vector wellbore design flow...

... if the pore radius decreases to one nanometer, which indicates the potential of our algorithm for simulating the shale reservoir production process. upstream oil & gas complex reservoir algorithm united states government equation of state calculation derivative pvt measurement optimization...

.... united states government complex reservoir upstream oil & gas reservoir simulation scaling method grid refinement fracture grid modeling & simulation equation discrete fracture fracture china government grid pedfm fractured reservoir discrete fracture model matrix grid adaptive...

.... For the unconventional test problem, the samples are compared with the ones obtained using a Gauss Newton or iterative Ensemble Smoother methods. reservoir simulation history matching artificial intelligence machine learning united states government particle upstream oil & gas bayesian inference stein...

... is to determine the granularity of the network. Herein, we demonstrate how this can be mitigated by using a dynamic graph adaption algorithm to find a good granularity that improves predictability both inside and slightly outside the range of the training data. europe government optimization upstream oil...

... realization gridblock correlation non-adaptive localization journal upstream oil & gas ensemble history ensemble-based history society ensemble kalman filter reynolds Introduction Ensemble-based history matching quantifies uncertainty in reservoir characterization and production...

... pressure change on mixing accelerates the CO 2 diffusion into the reservoir through the sorbed region and also the counter-current transport of oil components through the central region. reservoir simulation enhanced recovery united states government co 2 injection okuno upstream oil & gas...

... be used as a fast and reliable decision-making tool for reservoir management. fluid dynamics united states government upstream oil & gas reservoir simulation flow in porous media enhanced recovery petroleum engineer optimization problem artificial intelligence machine learning scenario...

... too much accuracy. This work provides the framework of incorporating ML into VLE calculation and develops a ML-assisted VLE calculation model that is suitable for various hydrocarbon mixtures in shale reservoirs. upstream oil & gas united states government neural network shale oil vle...

... the computational cost from the size m and n of a history matching problem before running expensive simulations. united kingdom government optimization problem upstream oil & gas subroutine reservoir simulation united states government europe government machine learning matrix artificial...

..., but at the cost of possible constraint violation for some individual geological realizations. united states government upstream oil & gas waterflooding history matching asset and portfolio management production monitoring constraint inequality constraint vector sequential quadratic programming...

...-size data for purposes other than reporting) has been presented. We will present novel software approaches used to implement the first such commercial simulator. united states government asia government fluid dynamics drilling operation upstream oil & gas directional drilling equation...

... is mandatory. In this work, a fully parallel GPU-accelerated simulator for extreme-scale models is presented and its performance is assessed through a real basin scale model that is used as benchmark. upstream oil & gas reservoir simulation asia government structural geology china government...

.... united states government fluid dynamics neural network deep learning artificial intelligence matrix machine learning koopman operator simulation proxy algorithm upstream oil & gas flow in porous media equation prediction architecture trajectory saturation dynamic mode decomposition...

... of the neural network to capture temporospatial prediction in hydraulic-geomechanical processes. equation neural network united states government reservoir geomechanics upstream oil & gas artificial intelligence machine learning journal differential equation deep learning approximation...

... slope is related with drawdown pressure. upstream oil & gas drillstem testing drillstem/well testing reservoir simulation wellbore design completion installation and operations perforation tunnel history wellbore integrity fines migration perforation efficiency united states...