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Keywords: artificial intelligence
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Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200003-MS
... 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 artificial intelligence upstream oil & gas training...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200019-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199988-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200000-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200021-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200009-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200001-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200006-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199997-MS
... installation and operations re-fracturing complex reservoir reservoir geomechanics artificial intelligence proppant reservoir characterization fracturing materials hydraulic fracturing wellbore design pore pressure geomechanical modeling rotation fracture interaction fracturing fluid simulation...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199976-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189779-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189786-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189790-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189791-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189806-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189802-MS
... for horizontal wells in tight/shale reservoirs. production control production monitoring Reservoir Surveillance production forecasting Modeling & Simulation hyperbolic model machine learning certainty reserves evaluation workflow Artificial Intelligence complex reservoir hyperbolic decline...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189823-MS
... 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...
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189809-MS
... 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...

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