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A modern way to tackle the problem of turbulence is to make use of numerical experiments on powerful supercomputers.
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We demonstrate the effectiveness and suitability of the proposed method using a series of numerical experiments in shale gas development.
Using the results of numerical experiments, it is shown that the proposed method achieves more accurate converged solution than a conventional approach.
In this study, a systematic investigation of recharge, inferred through model calibration, is undertaken using a series of numerical experiments that include varying degrees of hydraulic parameter information.
We demonstrate the suitability and effectiveness of the SpRML formulation using a series of numerical experiments of two-phase flow systems in both Gaussian and non-Gaussian property distributions in petroleum reservoirs and successfully apply the method to an adapted version of the PUNQ-S3 benchmark reservoir model.
Following the description in Moczo (1998), we extended the 2D numerical simulator used in the section of numerical experiments for 3D media.
The technique is used in a series of numerical experiments to provide the optimum experimental design for a boiling heat transfer investigation.
Success of the technique is demonstrated using an extensive series of numerical experiments including premixed deflagrations, Chapman Jouget detonations, re-shocked Richtmyer Meshkov instability, shock-wave and hydrogen gas column interaction, and multi-dimensional detonations.
We describe the results of numerical experiments using some scalar test problems.
By means of numerical experiments using images of various resolutions, we verified the applicable range of the image resolution in the proposed technique.
This expression is validated by a series of numerical experiments using 1D and 2D high resolution landscape evolution models.
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