... PVT behavior and potentially eliminating need for rigorous fluid sampling using multivariate statistical methods. Artificial Intelligence machine learning regression model multivariate statistical method reservoir pressure GOR reservoir fluid composition fluid sample Upstream Oil...

.... Artificial Intelligence shale gas Completion Installation and Operations optimization complex reservoir perforation cluster production rate horizontal well fracture permeability Upstream Oil & Gas production data linear flow fracture equation hydraulic fracturing Well Productivity...

... and machine learning to tackle this problem from a truly multivariable standpoint. The insights developed are widely applicable and may provide best practices for a varied range of challenges in EUR prediction. machine learning Reservoir Surveillance Artificial Intelligence switch point regime...

... Hydraulic Fracture Networks (HFNs) consisting of millions of fractures planes, enables calibration of fracturing fluids and water flowback while assessing the effect of the spontaneous imbibition. Artificial Intelligence resolution fracture network hydraulic fracturing natural fracture flowback...

... formation reservoir equation Artificial Intelligence Upstream Oil & Gas pore pressure porosity unconventional formation kholy permeability Technology Conference reservoir geomechanics reservoir characterization formation property low permeability formation usa spe annual technical...

...) models include ease of deployment, ease of debugging, and extremely fast prediction and re-training (updating the model). machine learning hydraulic fracturing Upstream Oil & Gas Artificial Intelligence accuracy isip value instantaneous shut-in pressure time series frac data...

... natural fractures). Artificial Intelligence machine learning optimization problem hydraulic fracturing Simulation tighter cluster stress anisotropy History hydraulic fracture history matching misfit fracture geometry shale gas Upstream Oil & Gas well 1 well 2 injection treatment...

.... It adds to the understanding around this concept by developing a cause and effect relationship between chemical design and composition and the impact on production and provides recommendations on process optimization in completion design. Upstream Oil & Gas hydraulic fracturing Artificial...

... dramatically. The potential and limitation of using a gradient method to solve this kind of problem are also shown in this paper. optimization problem hydraulic fracturing history matching Upstream Oil & Gas Artificial Intelligence reservoir simulation machine learning complex reservoir...

... evaluated with the physics-based models. machine learning proppant ace model functional form hydraulic fracturing cumulative oil production regression transformation average proppant concentration simulated dataset predictor variable Artificial Intelligence Upstream Oil & Gas optimal...

... that enables the development of visualization, continuous learning, and real-time application to mitigate communication during completions. machine learning Artificial Intelligence information classifier classification analysis interference Upstream Oil & Gas experiment insight engine parent...

... management reservoir simulation Project economics field development optimization and planning machine learning project valuation Upstream Oil & Gas Artificial Intelligence regression recovery reservoir factor Scenario complex reservoir optimization problem well density unconventional...

... of investigating multiple fracture realizations. complex reservoir Modeling & Simulation uncertainty analysis fracture network hydraulic fracture EDFM geometry Artificial Intelligence Upstream Oil & Gas simulation grid permeability distribution hydraulic fracturing aperture workflow...

... networks made random forests an attractive option for such a study. drillstring design drilling process machine learning Upstream Oil & Gas drilling operation Artificial Intelligence predictor MSE WOB heat map flow rate ROP random forest rop model surface parameter ROP model...

... physical model ECD real-time drilling application artificial intelligence application PWD Measurement monitoring contextual data wellbore hydraulic society of petroleum engineers limitation Introduction As the oil and gas industry seeks efficiency gains in the well construction process...

... "marginal". Completion Installation and Operations Upstream Oil & Gas variation hydraulic fracturing lateral Artificial Intelligence fracturing fluid natural fracture fracturing materials proppant concentration well 1 tracer well 2 cluster efficiency productivity perforation...

... MEM production history asymmetry core data machine learning History geometry fracture permeability Midland Basin vertical well parent well fracture geometry artificial intelligence Introduction The Permian Basin (PB) is one of the largest and more structurally complex regions...

... Upstream Oil & Gas Efficiency gamma ray completion design dataset friction correlation fracture treatment data mechanical rock property geomechanical data artificial intelligence concentration completion proppant concentration brittleness society of petroleum engineers completion...

... performance, and improve the quality of reserves estimates. machine learning production monitoring production forecasting prediction Artificial Intelligence intervention Engineer operation production behavior Reservoir Surveillance Upstream Oil & Gas History workover Well Intervention...

... found cuttings / slurry injection operations, the trends in closure pressure evolution can be tracked even if the fracture is never allowed to close. Artificial Intelligence Upstream Oil & Gas fracture closure pressure pressure transient analysis Drillstem Testing ISIP Formation...