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Microscopic network simulation can effectively simulate the impact of micro-parameters' variation on macro-parameters, thus a comprehensive model is built to reflect the variability of reservoir parameters.
Based on microscopic network simulation and reservoir numerical simulation, a new simulation method is proposed, which considers the synergetic time-variability of reservoir parameters in macroscopic and microscopic scales.
Combined with microscopic network simulation and reservoir numerical simulation, a comprehensive model is built to describe the variability of reservoir macro-parameters in this paper, which can describe the internal relationship of macro-parameters, micro-parameters, and oilfield development rules.
Based on microscopic network simulation and reservoir numerical simulation, a simulation method is proposed, which can describe the influence of reservoir parameters' synergetic time-variability on oil development rules in microscopic and macroscopic scales.
Based on microscopic network simulation and reservoir numerical simulation, a new simulation method is presented, which can describe the influence of reservoir parameters' synergetic time-variability on oilfield development rules both in macroscopic and microscopic scales.
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Procedures of simulation consist of 1. Macro-parameters such as porosity, absolute permeability, and relative permeability are used as constraint conditions to generate the microscopic network model of oil water two-phase flow.
Neural Network Simulation Environments, Skrzypek J, ed.
It is important to notice that, in contrast with the microscopic network (the network of users), the macroscopic network is not a sparse network at all.
They can also be used for network simulation.
Grid cell network simulations.
(A ) The schematic description of network simulations.
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