.... machine learning Directional Drilling Monte Carlo simulation correlation coefficient distribution Artificial Intelligence Upstream Oil & Gas multivariate regression analysis multiplier fracture stage well performance drilling operation lateral length variance completion data hydraulic...

...) for shale gas reservoirs are reanalyzed for proof of concept and demonstration of the developed techniques. hydraulic fracturing flow in porous media drillstem/well testing complex reservoir Monte Carlo simulation Modeling & Simulation Drillstem Testing Fluid Dynamics shale gas flowback...

... parameters. Uncertainty analysis, including parameter sensitivity estimation and recovery uncertainty assessment, is done conveniently and inexpensively using response surface models and Monte-Carlo simulations. Quality maps identify optimal well locations within the complex depositional setting documented...

.... permalog permlog carlo simulation gas permeability application graph permlog permeability estimate error analysis monte carlo simulation simulation porosity kg 0 upstream oil & gas confidence interval artificial intelligence resistivity permeability permeability estimate log analysis...

... example Monte Carlo simulation is used to determine the distribution of required MEA circulation rates to sweeten gas in a proposed installation. A simple problem formulation is used; therefore, it is possible to test the sensitivity of the calculated circulation rate distribution to the number of Monte...