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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
..., we designed Artificial Intelligence models to estimate the dew point pressure in Saudi Arabia gas condensate fields. We used data from 98 PVT reports to train, validate, and test the models. The results are discussed in this paper. machine learning upstream oil & gas neural network...
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
... 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 reservoir permeability mobility low...
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
... in the oil and gas domain as found in the OnePetro online database is an indication of its wide acceptance as "white box". Some of these will be discussed in subsequent sections. Whitening the Black Box Artificial Intelligence Figure 1 Summary of the Evolution of Data Mining [ Symeonidis...
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...