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Keywords: artificial intelligence
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Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-051-EA
... oil recovery producer production parameter sweep efficiency orthogonal array genetic algorithm wag injection scheme injection rate wag performance injection artificial intelligence enhanced recovery macroscopic sweep efficiency production-injection parameter efficiency miscible method...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-022
... reservoir average reservoir pressure reservoir model recovery water cut southern dome artificial intelligence 1 PAPER 2009-022 Integrating Geological Characterization and Historical Production Analysis to Optimize Field Management of Lower Miocene Reservoir in White Tiger Field, Vietnam N.T.B...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-156
... (brine) is important as brine can dissolve a large amount of CO 2 . mineralization artificial intelligence enhanced recovery dissolution precipitation flow in porous media brine fluid dynamics waterflooding storage co 2 aquifer reaction storage process reservoir simulation nghiem...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-052
... estimation optimization problem history matching observation data relative permeability boundary permeability curve flow in porous media vector ensemble size production data relative root-mean-squared error endpoint artificial intelligence upstream oil & gas reservoir...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-102
... artificial intelligence variation vertical permeability core photograph simulation porosity value resolution reservoir characterization Abstract Predicting the performance of in-situ recovery processes in the McMurray Formation is required to optimize development planning and resource...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-115
... propane initial population simulation evolutionary algorithm artificial intelligence solvent retention economics steam-solvent combination retention injection rate genome machine learning upstream oil & gas 1PAPER 2009-115 Advanced Solvent-Additive Processes via Genetic Optimization N...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-195
... analysis contact angle engineering aspect interface complex reservoir different temperature artificial intelligence interfacial tension Abstract Thermal recovery methods (such as steam injection) are recent remarkable technologies to recover bitumen from oil sands. The injected steam...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-125
... regression line artificial intelligence reservoir characterization ngr cutoff value rma line permeability net pay discriminant analysis trial-and-error method porosity cutoff value fraction upstream oil & gas jensen prob permeability cutoff value fluid dynamics flow...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-104
... vector hydraulic property reservoir characterization regularization method finite element model reservoir geomechanics vertical displacement artificial intelligence displacement observation point surface heave injection strain distribution permeability source point reservoir...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-131
... in their extremely simplistic or complex nature that reduces their applicability. artificial intelligence prediction rsmbased approach correlation oil viscosity correlation under-saturated crude kartoatmodjo oil viscosity machine learning api gravity pvt measurement crude viscosity value...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-050
... squeeze treatment producer voordouw artificial intelligence conversion characteristic university injector upstream oil & gas reservoir simulation nitrate partition coefficient reaction waterflooding experiment toluene variation history souring injection concentration...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-163
... channel upstream oil & gas outcrop cross-section artificial intelligence shoreface 1 PAPER 2009-163 LiDAR Technology as a Means of Improving Geologic, Geophysical and Reservoir Engineering Evaluations: From Rocks to Realistic Fluid Flow Models M. ALFARHAN University of Texas at Dallas J. HUI...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 16–18, 2009
Paper Number: PETSOC-2009-021
... procedure iteration application objective function history matching optimization technique steepest descent artificial intelligence reservoir simulation history simplex method algorithm optimization method gradient history data upstream oil & gas porosity reservoir model...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 17–19, 2008
Paper Number: PETSOC-2008-132
... & gas bit selection operational parameter rock strength value motor differential pressure mud flow rate pdm torque stator rotor average rop artificial intelligence drilling data drilling operation 1 PAPER 2008-132 Improved Drilling Efficiency Technique Using Integrated PDM and PDC Bit...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 17–19, 2008
Paper Number: PETSOC-2008-017
... is applied to the specimen, both in radial and axial directions. A schematic of the permeameter used is shown in Fig. 3. objective function artificial intelligence enhanced recovery equation experiment particle retention specimen mettananda 2005 optimization problem fraction particle flow...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 17–19, 2008
Paper Number: PETSOC-2008-174
... With development of the gas industry, gas pipeline networks have evolved over decades into very large and complex systems. gas network compressors engines and turbines discharge pressure operation scheme compressor station operation annual meeting artificial intelligence psig th annual meeting...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 17–19, 2008
Paper Number: PETSOC-2008-190
... means of addressing these complex processes. Artificial intelligence, and both fuzzy logic and neural networks in particular, can give the petroleum industry new tools for better understanding and controlling recovery processes and therefore achieving efficient and profitable oil recovery [1,2] . One...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 17–19, 2008
Paper Number: PETSOC-2008-122
... analysis, and log analysis packstone reservoir characterization indicator upstream oil & gas dolomite facies prediction facies classification limestone permeability better reservoir quality outlier neural network machine learning artificial intelligence anhydrite fracture...
Proceedings Papers

Paper presented at the Canadian International Petroleum Conference, June 17–19, 2008
Paper Number: PETSOC-2008-176
... multiple point statistics geologic modeling growthsim history reservoir characterization point statistics training image optimal template geology information artificial intelligence flow history statistics pattern recognition mp statistics simulation reservoir model hard data geological...

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