... the distribution of effective tight sandstones. permeability log analysis reservoir porosity well logging mercury injection saturation characterization upstream oil & gas machine learning chang 8 triassic chang 8 university petrochina research institute artificial intelligence formation...

.... The results suggest that our method by integrating the TRI parameters and HSV color spaces acquired from UAV photography can be a powerful method to estimate rock properties. upstream oil & gas machine learning unosaki coast reservoir characterization ruggedness artificial intelligence coast...

... environment dataset th september neural network program-2 st october permeability distribution artificial intelligence upstream oil & gas well data soft data program-1 th october 2021 The 26th Formation Evaluation Symposium of Japan 30th September, 1st October, 7th October 2021 IMPROVEMENT...

... & injector) comparison between new permeability, core permeability and dynamic data. 13 reservoir characterization log analysis well logging upstream oil & gas flow in porous media drilling operation machine learning artificial intelligence fluid dynamics cored well st october th september...

... in earth science and anything related to self-development. Her motto is if you don t try, you ll never know. US government Artificial Intelligence West Java renewable energy Reservoir Characterization geothermal reservoir radiative heat flux Reservoir Characteristic landsat 8 mount tangkuban...

...) for the formation evaluation in an exploration well. The result was used not only to optimize the drill stem test, but also it showed the good match with DST, and provided the general practice in this field for later well correlations. Upstream Oil & Gas Artificial Intelligence flow in porous media...

... through faults/fractures in non-equilibrium state which improved the reliability of prediction. reservoir simulation simulator 25th formation evaluation symposium flow behavior Upstream Oil & Gas EDF grid Artificial Intelligence kinetic rate constant therm fracture optimization...

... structural geology pore bitumen Artificial Intelligence Upstream Oil & Gas type 2 morphology Reservoir Characterization complex reservoir total porosity porosity solid bitumen bitumen maceral image analysis shale gas 24th formation evaluation symposium maceral Duvernay Formation type 1...

... Artificial Intelligence Bayesian Inference flow in porous media Reservoir Characterization Upstream Oil & Gas posterior distribution procedure variogram parameter prediction variance variance algorithm Japan Engineering prediction estimation permeability Fluid Dynamics 24th formation...

..., by automatically matching the calculation results with experimental results. The black oil type simulator was modified so that it could read the oil relative permeability as a complicated function of oil, water and gas saturation, which was adopted as an engine of these optimization programs. Artificial...

... machine learning Artificial Intelligence sio 2 log analysis Upstream Oil & Gas 24th formation evaluation symposium gneiss migmatitic granite Response Characteristic characteristic granite plagioclase identification mineral metamorphic rock Bongor basin Petroleum Exploration lithology...

...; EDX Plate E.37B) where fracture are also found within clay matrix. machine learning log analysis complex reservoir Formation Evaluation Symposium porosity lower baong formation Artificial Intelligence belumai formation organic-rich shale baseline well logging Upstream Oil & Gas...

... and petrophysics for both conventional and unconventional oil/gas resources. geological modeling Bayesian Inference geologic modeling Artificial Intelligence Petrel machine learning Upstream Oil & Gas Formation Evaluation Symposium estimation result estimation multiple soft data weighting factor...

... management Artificial Intelligence reservoir simulation history matching Monte Carlo simulation Formation Evaluation Symposium experiment risk assessment cumulative oil production quantification algorithm simulator uncertain parameter Japan risk and uncertainty assessment Upstream Oil...

... in Japan. Ryoichi Matsui is a geologist at INPEX Technical Research Center. He received his B.Sc. and M.Sc. in geology from Kyoto University in Japan. Artificial Intelligence Reservoir Characterization feasibility grain size Formation Evaluation Symposium quartz cement machine learning ichthy...

... & Gas environmental correction log interpretation mud log porosity estimation wireline log Artificial Intelligence mineral composition interpretation volumetric model lithology permeability well logging mineralogy model lithology model miti rumoi Japan 2017. Society...

... for efficient modelling approaches to model core permeability of few inches scale as a function of well logging data of few feet scales. machine learning Artificial Intelligence Reservoir Characterization flow in porous media well logging regression well log interpretation prediction Engineering...

... by the relative hypocenter T hydraulic fracturing hypocenter location machine learning Upstream Oil & Gas microseismic event Artificial Intelligence september 29 22nd formation evaluation symposium determination receiver multiplet event Reservoir Characterization microseismic monitoring...

... measurement of relative permeability is difficult due to the complex phase behavior. Artificial Intelligence Upstream Oil & Gas three-phase relative permeability optimization problem objective function flow in porous media Fluid Dynamics september 29 relative permeability simulator 22nd...

... by the original core, as well as on neighbouring wells, where no core data was available. machine learning Reservoir Characterization Artificial Intelligence textural class well logging Fluid Dynamics flow in porous media upper section prediction log analysis Upstream Oil & Gas Rabiller...