An upscaling approach using adaptive multi-resolution upgridding and automated relative permeability adjustment

Misaghian, Niloofar; Assareh, Mehdi; Sadeghi, Mohammad Taghi

doi:10.1007/s10596-017-9688-2

Cited by 11 publications

(7 citation statements)

References 28 publications

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“…This is crucial, given the constant evolution of data acquisition density that yields increasingly massive and accurate dataset, associated to more demanding simulations. The Hexa-Shrink decomposition is consistent with respect to mesh rescaling in geosciences, and provides an option for a reversible upscaling; [37] recently proposed such a waveletinspired scheme. Finally, it lends itself to an efficient lossless compression, which can be used for storage and transfer.…”

Section: Discussionmentioning

confidence: 99%

HexaShrink, an exact scalable framework for hexahedral meshes with attributes and discontinuities: multiresolution rendering and storage of geoscience models

et al. 2019

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With huge data acquisition progresses realized in the past decades and acquisition systems now able to produce high resolution grids and point clouds, the digitization of physical terrains becomes increasingly more precise. Such extreme quantities of generated and modeled data greatly impact computational performances on many levels of high-performance computing (HPC): storage media, memory requirements, transfer capability, and finally simulation interactivity, necessary to exploit this instance of big data. Efficient representations and storage are thus becoming This work was partly presented in [43]. This is a post-peerreview, pre-copyedit version of an article published in Computational Geosciences. The final authenticated version is available online at: http://dx.

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Section: Discussionmentioning

confidence: 99%

HexaShrink, an exact scalable framework for hexahedral meshes with attributes and discontinuities: multiresolution rendering and storage of geoscience models

et al. 2019

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“…Moreover, considering hybrid models requires thresholds in hybrid implicit-explicit representations of fractures and karst features to be partitioned [62]: smaller drains should be lumped with the rock matrix in the upscaling process to limit the number of discrete features explicitly represented in the model. Finally, dealing with variably saturated flow modelling may raise the most topical scaling issues, with both theoretical [99] and methodological [100] unanswered questions.…”

Section: Scaling Issuesmentioning

confidence: 99%

Taking into Account both Explicit Conduits and the Unsaturated Zone in Karst Reservoir Hybrid Models: Impact on the Outlet Hydrograph

Soglio

Danquigny

Mazzilli

et al. 2020

Water

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The main outlets of karst systems are springs, the hydrographs of which are largely affected by flow processes in the unsaturated zone. These processes differ between the epikarst and transmission zone on the one hand and the matrix and conduit on the other hand. However, numerical models rarely consider the unsaturated zone, let alone distinguishing its subsystems. Likewise, few models represent conduits through a second medium, and even fewer do this explicitly with discrete features. This paper focuses on the interest of hybrid models that take into account both unsaturated subsystems and discrete conduits to simulate the reservoir-scale response, especially the outlet hydrograph. In a synthetic karst aquifer model, we performed simulations for several parameter sets and showed the ability of hybrid models to simulate the overall response of complex karst aquifers. Varying parameters affect the pathway distribution and transit times, which results in a large variety of hydrograph shapes. We propose a classification of hydrographs and selected characteristics, which proves useful for analysing the results. The relationships between model parameters and hydrograph characteristics are not all linear; some of them have local extrema or threshold limits. The numerous simulations help to assess the sensitivity of hydrograph characteristics to the different parameters and, conversely, to identify the key parameters which can be manipulated to enhance the modelling of field cases.

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“…In the analysis of the existing research results, it can be seen that there has been a deep research on the optimization of power grid efficiency, but there is a large gap in the field of optimization of high-penetration new energy power grids. Therefore, on the basis of the theory proposed by other scholars and the use of big data technology, this paper conducts an in-depth study on the optimal scheduling of highpenetration new energy power grids [8].…”

Section: Introductionmentioning

confidence: 99%

Optimal Dispatching of New Energy Power Grid with High Penetration Rate under the Background of Big Data

Zhang

Wang

2022

Wireless Communications and Mobile Computing

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After decades of development, electricity has become an important driving force for national economic construction, and countries’ dependence on electricity is also increasing. In order to solve the problems of environmental pollution and nonrenewable resources in the process of traditional energy power generation and further improve the utilization efficiency of electricity, countries have vigorously developed new energy grids. As a rapidly advancing developing country, my country has a huge demand for electricity. In addition, in recent years, my country’s new energy power generation technology has advanced by leaps and bounds, and it has become an extremely important source of electricity, which is necessary. The purpose of this study is to improve the power grid dispatching and facilitate the people through the understanding of new energy sources with high penetration rate. This paper mainly uses the experimental method, the comparison method, and the investigation method and uses the big data technology to analyze the use of new energy and the optimal dispatch of the new energy grid. The experimental data show that the load changes in each time period are within 1. Through the continuous testing and optimization of the objective function, the dispatching of the high-penetration new energy grid has initially achieved scientific overall planning. The development of this research will help to realize the optimal configuration between traditional energy power generation and new energy power generation and realize the sustainable development of new energy power generation while reducing the loss of grid connection.

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An upscaling approach using adaptive multi-resolution upgridding and automated relative permeability adjustment

Cited by 11 publications

References 28 publications

HexaShrink, an exact scalable framework for hexahedral meshes with attributes and discontinuities: multiresolution rendering and storage of geoscience models

HexaShrink, an exact scalable framework for hexahedral meshes with attributes and discontinuities: multiresolution rendering and storage of geoscience models

Taking into Account both Explicit Conduits and the Unsaturated Zone in Karst Reservoir Hybrid Models: Impact on the Outlet Hydrograph

Optimal Dispatching of New Energy Power Grid with High Penetration Rate under the Background of Big Data

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