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Keywords: artificial intelligence
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Proceedings Papers

Paper presented at the SPE Middle East Unconventional Resources Conference and Exhibition, January 26–28, 2015
Paper Number: SPE-172939-MS
... is required for the Middle Eastern reservoirs. shale gas shale reservoir hydraulic fracturing fracture conductivity mechanical property complex reservoir organic matter Artificial Intelligence porosity Upstream Oil & Gas fracture Exhibition Shale Rock permeability spe annual technical...
Proceedings Papers

Paper presented at the SPE Middle East Unconventional Resources Conference and Exhibition, January 26–28, 2015
Paper Number: SPE-172952-MS
... Artificial Intelligence Upstream Oil & Gas organic content inorganic decomposition mineral decomposition himmetoglu oil shale characterization Pyrolysis kerogen Tga Dsc reservoir characterization Introduction The unconventional resources are so huge that it is several times larger than...
Proceedings Papers

Paper presented at the SPE Middle East Unconventional Resources Conference and Exhibition, January 26–28, 2015
Paper Number: SPE-172973-MS
... oil shale Efficiency machine learning hydraulic fracturing investment surface area Artificial Intelligence complex reservoir lateral resource investment retrospective assessment proppant Barnett shale integration Eagle Ford shale horizontal well fracture shale gas Upstream Oil...
Proceedings Papers

Paper presented at the SPE Middle East Unconventional Resources Conference and Exhibition, January 26–28, 2015
Paper Number: SPE-172920-MS
... to reduce the subsurface uncertainty and to mitigate development risks. hydraulic fracturing Reservoir Characterization correlation flow unit flow capacity porosity rock type reservoir Oman stress Profile Artificial Intelligence Thickness tight gas reservoir correction appraisal...
Proceedings Papers

Paper presented at the SPE Unconventional Gas Conference and Exhibition, January 28–30, 2013
Paper Number: SPE-164011-MS
... fracture conductivity Artificial Intelligence Drillstem Testing drillstem/well testing transverse fracture fracture conductivity multiple stage cluster transverse fracture hydraulic fracture optimization problem vertical fracture multiple transverse fracture apparent fracture conductivity...
Proceedings Papers

Paper presented at the SPE Unconventional Gas Conference and Exhibition, January 28–30, 2013
Paper Number: SPE-163950-MS
..., formation of multiple fractures and fracture offsets. In this study, hydraulic and natural fracture interaction in naturally fractured reservoirs has been investigated through an artificial intelligence method. So, a new feed-forward with back-propagation artificial neural network approach has been...
Proceedings Papers

Paper presented at the SPE Unconventional Gas Conference and Exhibition, January 28–30, 2013
Paper Number: SPE-163954-MS
... of a Geomechanical analysis that aided the planning of appropriate hydraulic system to maintain borehole integrity in the Build-Up and Horizontal sections of the well through the highly stressed overburden and reservoir sections. reservoir geomechanics Reservoir Characterization Artificial Intelligence...
Proceedings Papers

Paper presented at the SPE Unconventional Gas Conference and Exhibition, January 28–30, 2013
Paper Number: SPE-164013-MS
... of the deep UAE offshore tight gas sands. Artificial Intelligence dimensionless fracture conductivity tight gas sand design constraint optimization problem transverse fracture productivity hydraulic fracturing constraint fracture half-length proppant fracture horizontal well realistic...
Proceedings Papers

Paper presented at the SPE Unconventional Gas Conference and Exhibition, January 28–30, 2013
Paper Number: SPE-164002-MS
... Artificial Intelligence study area Upstream Oil & Gas Thickness methane goo hydrate sensitivity analysis pore-pressure gradient geothermal gradient salinity GHSZ gradient composition gas hydrate accumulation sediment water depth gas hydrate gas composition seabed temperature...
Proceedings Papers

Paper presented at the SPE Unconventional Gas Conference and Exhibition, January 28–30, 2013
Paper Number: SPE-164003-MS
.... Using intelligent system would help drilling industry to reduce Non-Productive Time (NPT) during operation in complex zones. Upstream Oil & Gas drilling operation machine learning classification classifier differential sticking differential sticking optimization Artificial...
Proceedings Papers

Paper presented at the SPE Unconventional Gas Conference and Exhibition, January 28–30, 2013
Paper Number: SPE-164010-MS
... circulation mud flow bottomhole Artificial Intelligence friction factor spe annual technical conference turbulent flow Upstream Oil & Gas Drag Force Circulate drillpipe pressure cylinder part frictional pressure drop reynolds number annular pressure drilling calculation procedure...
Proceedings Papers

Paper presented at the SPE Unconventional Gas Conference and Exhibition, January 28–30, 2013
Paper Number: SPE-164031-MS
... of infill and step-out opportunities. Artificial Intelligence machine learning neural network flow in porous media Fluid Dynamics absolute permeability gas effective permeability Reservoir Characterization Upstream Oil & Gas correlation relative permeability production index water...
Proceedings Papers

Paper presented at the SPE Unconventional Gas Conference and Exhibition, January 28–30, 2013
Paper Number: SPE-164005-MS
... while rotating. drillstring design drilling operation inclination angle Hydroclean TM wellbore pressure management drill pipe selection efficiency index Directional Drilling Upstream Oil & Gas flow rate Artificial Intelligence annular pressure drilling drill pipe hole cleaning...
Proceedings Papers

Paper presented at the SPE Middle East Unconventional Gas Conference and Exhibition, January 23–25, 2012
Paper Number: SPE-152446-MS
... aims to ensure that images acquired are the most suitable for detailed geologic interpretation and subsequent integration in development plans for optimal exploitation of tight gas sands in Oman. production monitoring borehole imaging machine learning artificial intelligence reservoir...
Proceedings Papers

Paper presented at the SPE Middle East Unconventional Gas Conference and Exhibition, January 23–25, 2012
Paper Number: SPE-152451-MS
... neural network and conventional logs is spending less capital or time and finally obtaining reliable Klinkenberg permeability in situ. flow in porous media mean pressure machine learning upstream oil & gas artificial intelligence fluid dynamics prediction klinkenberg permeability...
Proceedings Papers

Paper presented at the SPE Middle East Unconventional Gas Conference and Exhibition, January 23–25, 2012
Paper Number: SPE-153255-MS
... artificial intelligence reservoir simulation formation damage near-well model cleanup period hydraulic damage conductivity fracture simulation fractured well horizontal well hydraulic fracturing gas production cumulative gas production coarse grid simulation gas flow rate permeability...
Proceedings Papers

Paper presented at the SPE Middle East Unconventional Gas Conference and Exhibition, January 23–25, 2012
Paper Number: SPE-149784-MS
... studies have been carried out that incorporate the Artificial Intelligence (AI) suite of methodologies espoused by Shahab D. Mohaghegh". Essentially a pattern recognition paradigm is emphatically embraced to enable both the reservoir characteristics and the functional relationships, observed between...
Proceedings Papers

Paper presented at the SPE Middle East Unconventional Gas Conference and Exhibition, January 31–February 2, 2011
Paper Number: SPE-140029-MS
... in Shadegan Oil Field . SPE paper No. 130932. International Oil and Gas Conference and Exhibition in China , 8-10 June 2010 , Beijing, China . 2. Edalatkhah , S. , Arabjamaloei , R. , Hashemi , A. 2009 . Bit Selection Optimization Using Artificial Intelligent Systems . Journal...

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