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

... drilling. energy economics thermal method enhanced recovery shale oil steam-assisted gravity drainage injection pressure us government upstream oil & gas shale play mb formation contact angle core sample fracture application wettability artificial intelligence complex reservoir...

... 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...

... are also state of the art. production monitoring production control reservoir surveillance completion installation and operations re-fracturing complex reservoir reservoir geomechanics artificial intelligence proppant reservoir characterization fracturing materials hydraulic fracturing...

... dynamics flow in porous media complex reservoir horizontal stress fracture propagation horn river shale fracture network geometry perforation propagation model minimum horizontal stress hydraulic fracture artificial intelligence re-fracturing evie formation fracture otter park formation...

... fdi event operation hydraulic fracturing well 1 fdi event visualization society of petroleum engineers completion data fracture artificial intelligence alert well 4 infill well severity fdi event time series pressure data operator time series completion data Once the data is piped...

... characterization machine learning artificial intelligence hydraulic fracturing well completion multistage fracturing montney formation application proppant completion parameter prediction feature importance horizontal length completion installation and operations accuracy well performance proppant...

... fracturing u-net architecture artificial intelligence upstream oil & gas training dataset recognition neural network ball pumpdown seat operation prediction ball seat event recognition algorithm dataset slurry rate machine learning cnn model wellhead pressure computational resource deep...

... drillstem/well testing production control artificial intelligence hydraulic fracturing complex reservoir history matching dfn model reservoir characterization reservoir surveillance shale gas drillstem testing fracture characterization fluid dynamics fluid modeling scaling method flow...

... learning data mining shale gas directional drilling energy economics production control artificial intelligence complex reservoir unconventional resource economics well performance reservoir characterization reservoir surveillance hydraulic fracturing drilling operation reserves evaluation...

... modeling reservoir geomechanics well logging machine learning production monitoring reservoir surveillance reservoir characterization fracturing materials flow in porous media tight gas production forecasting equation of state complex reservoir estimates of resource in place artificial...

... technique and corresponding well configuration. Artificial Intelligence flooding process EOR process Bakken formation reservoir Upstream Oil & Gas optimization configuration fracture operation Modeling & Simulation enhanced recovery Uncertainty Assessment co 2 NPV Elm Coulee...

... Microsoft hydraulic fracturing Upstream Oil & Gas flowback data algorithm Artificial Intelligence reservoir simulation deterministic match drillstem testing MC simulation drillstem/well testing fracture relative permeability exponent application Clarkson breakthrough pressure...

... 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...

.... Artificial Intelligence Upstream Oil & Gas correlation machine learning neural network data preparation fluid modeling equation of state unconventional resource conference hydraulic fracturing classification unsupervised neural network classification model spe csur unconventional resource...

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

... 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 water saturation Niobrara shale maturity evaluation hydrocarbon shale petroleum reservoir...

... the fractional diffusivity equation, in place of the classical one, to model the flow and production behavior in highly fractured unconventional reservoirs. complex reservoir normal diffusion fracture network fracture system Artificial Intelligence relation anomalous diffusion diffusion matrix...

... the most influential factors influencing the water uptake during shut-in periods after hydraulic fracturing operations. Artificial Intelligence neural network residual saturation imbibition saturation spontaneous imbibition fracture machine learning flow in porous media shale gas Upstream...

... drilling system Software Engineering sequential connection human operator automation system interaction connection time machine learning operator Drilling artificial intelligence human-machine interaction utilization society of petroleum engineers sequence Introduction Oil and gas...