... sample 2 relative permeability data mining flow in porous media decision tree learning fluid dynamics prediction core analysis inductive learning application synthetic sample reservoir simulation upstream oil & gas pressure drop database algorithm reservoir evaluation reservoir...

... upstream oil & gas truth model accuracy porosity weighted tree model volumetric fraction decision tree model correlation coefficient modeling & simulation decision tree learning spatial weighted tree model toc machine-learning method reservoir simulation conventional tree model...

... the uncertainty. This KPI accounts for the reservoir complexity when the technical decision–tree analysis is performed, as well as the economic variability when the economic and technical decision–tree analysis is performed. Artificial Intelligence recovery strategy decision tree learning technical...

... rate permeability hydraulic fracturing Upstream Oil & Gas category indirect indicator conditional probability dynamic data decision tree learning matrix enhanced recovery nonleaf node node predictor water cut probability training set decision tree In the case of supervised...

... tree learning seismic data seismic signal Waggoner water saturation reservoir property Upstream Oil & Gas information porosity Artificial Intelligence Thickness seismic information vector saturation drilling program october 2008 amplitude assumption Standard Deviation SPE...

... simple for field cases, but the simplicity allows some interesting concepts to be discussed and illustrated. probability drilling location decision tree learning possible outcome machine learning information quantify conditional probability economic impact economic value reliability spe...