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Keywords: artificial intelligence
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Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Saudi Arabia section Young Professionals Technical Symposium, March 19–21, 2012
Paper Number: SPE-160921-MS
... Abstract Artificial Intelligence (AI) techniques have been successfully applied in the characterization of oil and gas reservoirs especially in the prediction of porosity, permeability, water saturation, dew point pressure, PVT properties and lithofacies. As good as each technique might...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Saudi Arabia section Young Professionals Technical Symposium, March 19–21, 2012
Paper Number: SPE-160919-MS
.... Artificial Neural Networks has been more popular recently for complex input-output mapping. It has been used in the literature to predict bubble point pressure in oil fields and good results has been reported. In this paper, we designed Artificial Intelligence models to estimate the dew point pressure...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Saudi Arabia section Young Professionals Technical Symposium, March 19–21, 2012
Paper Number: SPE-160922-MS
... geological systems. well logging trajectory artificial intelligence viscosity tar mat real time system drilling upstream oil & gas porosity placement petrophysics log analysis injector producer lpz fpwd reservoir society of petroleum engineers petrophysical analysis carbonate...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Saudi Arabia section Young Professionals Technical Symposium, March 14–16, 2011
Paper Number: SPE-155413-MS
... Abstract There are two schools of thought on the application of Artificial Intelligence (AI) techniques in reservoir characterization and modeling. The first school considers AI as a step forward in the future of reservoir characterization and modeling in line with the increased advancement...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Saudi Arabia section Young Professionals Technical Symposium, March 14–16, 2011
Paper Number: SPE-155410-MS
... with an average absolute error of 6.5%. Graphical and statistical tools have been utilized for the sake of comparing the performance of the new models and empirical models available in literature. machine learning artificial intelligence drillstem testing pvt measurement neural network saudi arabia...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Saudi Arabia section Young Professionals Technical Symposium, March 29–30, 2008
Paper Number: SPE-117062-MS
... while the rig is on location and to provide better post injectivity performance since it is proved so. Artificial Intelligence Completion Installation and Operations Directional Drilling tractor stimulation friction reducer Upstream Oil & Gas drilling operation cylinder pull test...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Saudi Arabia section Young Professionals Technical Symposium, March 29–30, 2008
Paper Number: SPE-117073-MS
.... Artificial Intelligence well logging real time system formation testing log analysis information fusion drawdown Drillstem Testing formation tester Upstream Oil & Gas variation DFA fluid property pre-khuff hydrocarbon exploration comprehensive data integration formation pressure...