... in porous media waterflooding Artificial Intelligence Brine osmosis Efficiency pore Fluid Dynamics salt concentration enhanced recovery Upstream Oil & Gas concentration membrane matrix society of petroleum engineers oil recovery experiment low-salinity brine kurtoglu shale matrix...

... permeability Artificial Intelligence Upstream Oil & Gas correlation shale effective stress hydraulic fracturing microseismic cloud regression equation fracture network horizontal well production permeability average effective stress complex reservoir shale gas Introduction...

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... to reliably predict the pressure depletion and rate decline. reservoir simulation Modeling & Simulation shale gas reservoir porosity History Reservoir Heterogeneity diffusivity equation formulation Upstream Oil & Gas boundary condition application fracture Artificial Intelligence...

... shale gas modeling History conductivity fracture porosity completion design fracture geometry Artificial Intelligence Upstream Oil & Gas Eagle Ford shale evaluation horizontal well workflow hydraulic fracture completion parameter permeability Scenario Introduction In 2008...

... here should provide a more reliable assessment of the resource size and uncertainty in the Mexican Eagle Ford shale for use in resource exploitation planning. Artificial Intelligence machine learning Upstream Oil & Gas Thickness reserves evaluation complex reservoir prospective resource...

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

... production decline rates. Artificial Intelligence Fluid Dynamics epoxy penetration flow in porous media Pore System experiment reservoir simulation reservoir pressure porosity Reservoir Characterization Upstream Oil & Gas time step reservoir mechanism matrix differential equation...

... with time. Rate normalized pseudo-pressure versus pseudo-time plots give a straight line when applied to field data, thus the solution can be used to characterize hydraulic fractures in a manner similar to conventional well testing methods. hydraulic fracturing Artificial Intelligence shale gas...

... shale gas Upstream Oil & Gas Phase Behavior contribution pore proximity effect artificial intelligence pore size critical property shale oil oil shale Introduction The behavior of hydrocarbon gases and liquids confined in shale nanopores continues to be a topic of active research...

... cross-section unconventional resource technology conference artificial intelligence Introduction Tight formations in the Midland Basin under active development include Clearfork, Wolfcamp, Spraberry, Strawn, Cline, Atoka, and Mississipian formations, which are usually found between 6000 feet...

... is higher compared with the conventional Darcy flow calculations which impact significantly on fracture and matrix pressure responses and production forecasting. Artificial Intelligence flow in porous media Upstream Oil & Gas hydraulic fracturing calculation flow calculation prediction gas...

..." is available, this study allows us to objectively evaluate and optimize production data analysis best practices. Artificial Intelligence Upstream Oil & Gas deterministic approach flow in porous media drillstem/well testing rigorous approach answer key production data Drillstem Testing...

... network unconventional resource reservoir oil reservoir tight oil reservoir spe 164542 Pennsylvania State University Artificial Intelligence cumulative production forecasting well performance production data society of petroleum engineers well log discontinuous tight oil reservoir...

... assessment of the opportunities and problems for exploration and long-term field development. This has already resulted in successful application by an operator in the Haynesville/Bossier formations in NW Louisiana, USA. Artificial Intelligence Reservoir Characterization material property...

... for enhanced recovery. Artificial Intelligence complex reservoir methane free gas composition prediction gas composition coal equation clarkson adsorption model Adsorption data Upstream Oil & Gas shale gas selectivity adsorption excess adsorption 2d-eo model composition dataset ch...

.... The method enables a rapid appraisal of pressure measurements in comparison to conventional testing. Simulations also indicate that the analytical spherical model can be used to analyze a pulse test, even when encountering multi-phase compositional fluid effects. artificial intelligence upstream oil...