... of the qualitative understanding of MSE to a reliable quantification of rock strength through the analysis of magnitudes and trends in drilling parameters and dysfunction indicators. Screening out drilling dysfunctions enables a much better rock strength approximation to aid completion optimization. artificial...

... complex reservoir reservoir surveillance re-fracturing wellbore design reservoir characterization fracturing materials hydraulic fracturing drilling operation reservoir geomechanics artificial intelligence pore pressure geomechanical modeling rotation fracture interaction depletion...

... comprehensive and robust approach is presented for integrating specific RTA interpretations and estimations into various steps of the history-matching process. machine learning production monitoring production forecasting optimization problem pressure transient analysis production control artificial...

... dynamics upstream oil & gas horizontal stress fracture network fracture propagation geometry complex reservoir propagation model minimum horizontal stress artificial intelligence re-fracturing evie formation operation perforation influence coefficient hydraulic fracture otter park...

.... production control log analysis fluid modeling production logging hydraulic fracturing reservoir geomechanics proppant well logging flow in porous media tight gas complex reservoir reservoir characterization fracturing materials artificial intelligence shale gas drillstem testing machine...

... characterization artificial intelligence multistage fracturing montney formation completion installation and operations application accuracy well performance proppant injection upstream oil & gas contribution random forest model machine learning hydraulic fracturing well completion prediction...

..., the methodology lends a fundamental analytics framework for visualization, continuous learning to create and optimize other real-time completion and stimulation operations at the asset level. real time system upstream oil & gas completion artificial intelligence infill well hydraulic fracturing...

... learning data mining shale gas directional drilling artificial lift system production monitoring shale oil reservoir simulation energy economics production control artificial intelligence complex reservoir reservoir characterization reservoir surveillance hydraulic fracturing oil shale...

... gives fair estimates of fracture spatial evolutions. intervención de pozos petroleros artificial intelligence machine learning production monitoring modeling & simulation hydraulic fracturing reservoir simulation upstream oil & gas production forecasting complex reservoir...

... drilling. thermal method enhanced recovery shale oil steam-assisted gravity drainage energy economics sagd oil shale us government upstream oil & gas artificial intelligence complex reservoir unconventional resource economics mechanism recovery incremental oil recovery injection...

... the Convolutional Neural Network (CNN) to solve the same problem. Comparing with U-Net approach, the CNN model requires less computation resource during training phase while it has slight better performance. hydraulic fracturing u-net architecture neural network ball pumpdown seat operation artificial...

... the most influential factors influencing the water uptake during shut-in periods after hydraulic fracturing operations. Artificial Intelligence flow in porous media neural network Upstream Oil & Gas shale gas Fluid Dynamics residual saturation relative permeability water saturation...

... 2 NPV Upstream Oil & Gas optimization configuration Artificial Intelligence flooding process EOR process Bakken formation reservoir Uncertainty Assessment injection natural depletion Elm Coulee field flooding flood simulation model fracture operation Introduction...

... transport drilling fluids and materials cementation helium pycnometry estimation BSE image Reservoir Characterization shale gas detrital grain elemental map software quartz grain reservoir geomechanics complex reservoir porosity value Artificial Intelligence image analysis software Upstream...

... and combining such simulation with data analytics and artificial intelligence algorithms helped in the development of a powerful solution that creates models for fast, yet effective, completion design. As a case study, the approach was executed on Eagle Ford wells. Over 2000 data points were collected...

... drilling process internal blowout preventer drilling system Upstream Oil & Gas pac system rig human operator utilization society of petroleum engineers connection time machine learning Drilling automation system artificial intelligence interaction sequence Introduction Oil...

... of sweet spots. Although the methodology is explained with data of the Niobrara shales, it should have application in other shale petroleum reservoirs of the world. Artificial Intelligence log analysis Upstream Oil & Gas Niobrara shale water saturation porosity maturity evaluation pore...

... correlation Reservoir Characterization regression model well performance Artificial Intelligence cgr 30 subsurface input input variable evaluator workflow probability distribution subset economic metric data relationship variable value breakeven oil price type well procedure PhiH...

... for Marcellus Shale shows great promise that this approach can be applied in other areas where limited history of production and liquid loading exists. production monitoring machine learning shale gas Artificial Intelligence Turner gas reservoir neural network criteria production control gas Well...

... improvement for all operators. machine learning well performance Upstream Oil & Gas inflow performance variance training data coefficient workflow Artificial Intelligence regression typecurve final test data neural network node operator Tonnage multiple linear regression predictor...