... and edge structure in the rock image, but improve the accuracy and speed of the BP neural network for rock image segmentation. neural network segmentation asia government machine learning upstream oil & gas artificial intelligence algorithm image segmentation accuracy rock image...

.... The research results have theoretical significance for the construction and electrical simulation of fractured digital core. upstream oil & gas asia government hydraulic fracturing reservoir characterization structural geology neural network shale oil oil shale complex reservoir artificial...

... government fracture permeability dfn fracture aperture artificial intelligence karst fracture permeability history aperture type workflow carbonate reservoir asia government machine learning intensity proportion orientation prediction fracture intensity burial karst correlation...

... simulation assessment united kingdom government europe government orientation algorithm fracture mechanism workflow evaluation mesh bedding dataset united states government artificial intelligence fracman former chalk quarry wall scanline comparison instability rocscience DFNE 22 33...

... artificial intelligence stability strength equation of state foliation esmaeili reservoir geomechanics fracture intensity drillhole spatial variation comparison hydraulic fracturing metals & mining displacement west branch modeling & simulation information hadjigeorgiou reservoir...

... is essential for numerical simulation. artificial intelligence reservoir simulation reservoir characterization equation of state fracture 1 1 0 natural language complex reservoir cumulative production characteristic finite element method natural fracture mxfem fracture section numerical...

... characterization artificial intelligence risk management flow in porous media hydraulic fracturing upstream oil & gas fluid dynamics influential factor information fractured rock evaluation intersection representation modeling & simulation reservoir simulation fracture characterization...

... fracture parameters that are not easily inferred by other methods such as cores and microseismic interpretations. flow in porous media artificial intelligence complex reservoir fluid dynamics production data reservoir simulation initial realization proceedings realization intensity...

...-fracture interactions during gas transport in shale. The effects of fracture geometry and coupling flow mechanisms on gas production are also analyzed in this paper. complex reservoir mechanism discontinuity shale gas gas production gas transport hydraulic fracturing concentration Artificial...

... pressure hydraulic fracturing Artificial Intelligence drillstem/well testing frequency aperture Duvernay Formation pressure fluctuation representation Reservoir Characterization Upstream Oil & Gas fluctuation time-frequency representation mechanism fracture society of petroleum engineers...

... comparisons between the outcomes of each technique. Artificial Intelligence Upstream Oil & Gas tensor reservoir simulation displacement hydraulic fracturing aperture flow in porous media Fluid Dynamics discontinuity coupling Müller manzoli formulation permeability solid finite...

... the models are analyzed. The rock mass fracture model have 30% more connected fractures, 60% more connected fracture area and is more elongated than the “measured” model at the connectivity level when the first fracture of the two clusters hits any boundary of the modelling cube. Artificial...

... a representative probability density function of the analysed rock mass discontinuities. The rock mass is then modelled in FracMan. metals & mining complex reservoir rock mass discontinuity fluid modeling equation of state fracture intensity Artificial Intelligence fracture network cumulative...

... sensitivity. Finally, we simulate hydraulic fracturing from several intervals in a vertical well with parameters matched to actual pumping conditions. Upstream Oil & Gas complex reservoir Artificial Intelligence natural fracture network coal flottmann differential stress busetti natural...

... how the discrete fracture network (DFN) methodology (e.g. Dershowitz, 1985) provides a conceptual framework in which these various disciplines can be integrated to develop a combined ‘hydrostructural’ model of fracturing, flow and transport processes at Olkiluoto. Artificial Intelligence fluid...

... in complex geological media. Reservoir Characterization Upstream Oil & Gas Artificial Intelligence modeling fluid pressure jin seismic event stress drop geophysical research Shapiro injection segall hydraulic fracturing seismic cycle seismicity shear stress fracture temporal...

... to adjust the blast design. hydraulic fracturing DFN model Artificial Intelligence UAV Upstream Oil & Gas size distribution metals & mining complex reservoir Rock mechanics fluid modeling equation of state opendronemap mapping discontinuity block size distribution operation...

... conductivity equation of state normani freshwater head fracture zone network mean life expectancy rock mass Groundwater Flow Artificial Intelligence groundwater model irregular fracture zone network MoFrac Canada zone network Fracture Zone discrete fracture zone network Sensitivity Case DFNE...

... fracturing aperture Earthquake fluid flow Artificial Intelligence Fracture Reactivation stimulation keilegavlen fracture segment geothermal reservoir fluid injection reactivation seismicity matrix permeability hydraulic stimulation deformation injection fracture DFNE 18-362 Three...

... (200 to 1500) and spacing between the faulted block and the eastern and western blocks. A significant diagenetic overprint makes cluster analysis very relevant when fracture intensity drivers are based on rock type. Reservoir Characterization Artificial Intelligence fracture characterization...