... orientation upstream oil & gas algorithm discontinuity bedding simulation mechanism assessment evaluation fracture united states government artificial intelligence fracman former chalk quarry wall scanline workflow rocscience instability mesh dataset comparison DFNE 22 33 Slope...

... reservoir characterization voxel simulation numerical simulation xing qin sinopec research institute petroleum engineering artificial intelligence arrangement figure conductivity characteristic Abstract Accurately characterizing the morphology and resistivity characteristics...

.... Wong, L. and Wu, Z. 2014. Application of the numerical manifold method to model progressive failure in rock slopes. Engineering Fracture Mechanics (119:1-20). fracture reservoir simulation upstream oil & gas equation of state artificial intelligence modeling & simulation stability...

... a workflow to incorporate fracture characterization with fracture prediction to build DFNs that are geologically robust, consistent with dynamic well test data, and application to EDFM+DPDK models for forecasting. upstream oil & gas complex reservoir fracture artificial intelligence...

... 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 accuracy university upstream oil & gas artificial intelligence algorithm xing qin sinopec research...

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..., was superimposed onto a three-dimensional mesh. The MoFrac code enables the generation of geostatistically and structurally possible 3D fracture network models at the tunnel, site and regional scale. hydraulic fracturing life expectancy network model Artificial Intelligence groundwater model irregular...

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... 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...

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... to understand important mechanisms affecting permeability enhancement. The possibility to model well response and induced seismicity in a hydraulic stimulation process can potentially aid the analysis of field observation data. geothermal reservoir fluid injection Artificial Intelligence Fracture...

... equation diffusion sandstone case rock matrix Artificial Intelligence Fluid Dynamics DFN application rock type fracture 1. INTRODUCTION Modeling fluid flow in fractured media is relevant to a wide range of problems including geothermal energy, nuclear waste storage, carbon sequestration...

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

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...) Caverns of the M4East project. hydraulic fracturing DFN model borehole complex reservoir orientation tunnel design Reservoir Characterization fracture characterization cavern block analysis application unstable block bedding realization Dershowitz Bertuzzi intensity Artificial...

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