... logging machine learning application upstream oil & gas asia government neural network artificial intelligence data mining hyperparameter sedimentary rock geology africa government algorithm log analysis geological subdiscipline al-mudhafar dataset regression engineering journal...

... predictions. history matching assimilation reservoir simulation united states government artificial intelligence subsurface storage upstream oil & gas deep learning north america government geologist geology neural network climate change reservoir characterization workflow journal...

... is to investigate the application of artificial intelligence techniques employed as a global optimization objective function across the field, rather than well by well, that would increase production by optimizing the rig scheduling in fields with large number of wells and high level of activity. Statement...

... complex reservoir artificial intelligence machine learning adsorption xgboost supercritical co 2 neural network shale gas reservoir characterization algorithm recovery shale ga reservoir wang Introduction The yearly worldwide demand for natural gas is anticipated to reach 4,400 billion...

... wells can be highly expensive and time-consuming. The goal of this work is to find the best artificial intelligent model which can predict the permeability values with minimum error while saving time and money. Therefore, accurately estimating is highly beneficial to use such a model for further field...

... & gas neural network data mining artificial intelligence prediction geology complex reservoir machine learning forecasting dynamic physics-guided deep learning dataset residual correction synthetic dataset mechanism mohd razak unconventional reservoir geological subdiscipline...

... 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...

... flow regimes. upstream oil & gas united states government geology complex reservoir reservoir simulation pressure transient testing geologist fracture production forecasting artificial intelligence machine learning modeling & simulation production control regime reservoir...

... learning improved workflow spectral clustering avg distance rmse cluster-level rmse treatment job variance gmm production monitoring clustering gaussian mixture unconventional principal component artificial intelligence reservoir characterization forecast production modeling singular...

... better prediction performance than the ANN model in terms of the data sets used for this study and had the potential to properly handle missing values by itself. geologist geology fracturing fluid upstream oil & gas neural network proppant artificial intelligence machine learning...

... production and increase life of lift equipment. fluid dynamics upstream oil & gas united states government geologist geology drillstem/well testing pvt measurement production forecasting reservoir surveillance machine learning gas injection artificial intelligence production control...

... the wells to speed the selection process and prioritize wells with higher leakage risk to perform P&A operations and minimize emissions. geologist united states government leakage climate change migration casing and cementing well decommissioning artificial intelligence classification...

... upstream oil & gas optimization problem enhanced recovery machine learning asia government optimization evolutionary algorithm waterflooding artificial intelligence chemical flooding methods injection multi-objective optimization efficiency polymer flooding constraint particle swarm...

... asia government flow in porous media co 2 experiment sedimentary rock geology gas injection method miscible method enhanced recovery geologist waterflooding rock type artificial intelligence climate change surfactant preflush saturation fluid dynamics united states government...

... closed. united states government assessment safeguard upstream oil & gas artificial intelligence probability valve risk management fatality operator improved risk assessment discharge valve risk assessment figure system theoretic accident model scenario emergency information...

... in the entire field. sedimentary rock clastic rock unconventional play neural network petroleum play type mechanism geological subdiscipline geologist geology complex reservoir artificial intelligence production control correlation upstream oil & gas united states government mudrock...

... and portfolio management artificial intelligence machine learning artificial lift system simulator constraint application reservoir node calculation simulator optimization united states government multiphase flow optimization subnetwork algorithm separator node comparison admm algorithm gas...

... asphaltene inhibition geology hydrate inhibition hydrate remediation united states government production chemistry artificial intelligence wax remediation conference asphaltene deposition scale inhibition asphaltene remediation wax inhibition flow assurance formulation dosage method asia...

... states government artificial intelligence reservoir lstm machine learning ampomah dataset recovery prediction forecasting sedimentary rock geology petroleum engineer scenario conference timestep operation society rock type geological subdiscipline algorithm mohaghegh drawdown...

... characterization bitumen oil sand geological subdiscipline structural geology directional drilling risk and uncertainty assessment artificial intelligence reservoir geomechanics enhanced recovery machine learning injection lateral injector matrix bypass event north slope lateral economic geology...