Affective artificial intelligence in education

Moridis, Christos N.; Μορίδης, Χρήστος Ν.

doi:10.12681/eadd/28931

Cited by 1 publication

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References 203 publications

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“…This design required very fine spatial discretization, so that even the thinnest geologic layer could be subdivided into a minimum of three sub-layers in order to accurately capture the curvature of the fluid and heat flow lines across strata with widely disparate properties. The very large resulting matrix and the steep flow and thermal gradients imposed very fine temporal discretization that was necessary to achieve the linearization required by the Jacobian-based, fullyimplicit simulator (Moridis, 2016;Moridis and Pruess, 2016). This in turn resulted in extreme computational loads requiring hundreds of thousands of super-computer hours per run.…”

Section: Summary Of Numerical Simulation Studies For Nghp-02 Sitesmentioning

confidence: 99%

India National Gas Hydrate Program Expedition 02 summary of scientific results: Numerical simulation of reservoir response to depressurization

Boswell

Myshakin

Moridis

et al. 2019

Marine and Petroleum Geology

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The India National Gas Hydrate Program Expedition 02 (NGHP-02) discovered gas hydrateat high saturation in sand reservoirs at several sites in the deepwater Bay of Bengal. To assess the potential response of those deposits to scientific depressurization experiments, comprehensive geologic models were constructed to enable numerical simulation for two sites. Both sites (NGHP-02-09 and NGHP-02-16) feature thick sequences of thinly-interbedded reservoir and non-reservoir facies at sub-seafloor depths less than 300 m and sub-sea depths of 2400 m or more. These settings pose significant challenges to current modeling capabilities. First, the thinly-interbedded reservoir architecture complicates the determination of basic reservoir parameters from both log and core data due to measurement resolution issues. Secondly, the fine scale variation in sediment propertiesimparts great contrasts in key parameters over very short distances, creating high gradients at multiple scales and varying orientations that necessitate careful design of high-definition simulation grids. Thirdly, the deposits include internal sources of water, as well as a range of complex boundary conditions, including variable permeability within the overlying mud-rich "seals," that complicate reservoir depressurization. Lastly, because of the unique combination of great water depth and relatively shallow sub-seafloor depth: models designed to maximize the dissociation rate impose large pressure drawdowns on relatively low-strength sediments. This condition renders the proper evaluation and integration of the geomechanical response to hydrate dissociation critical. In this report, we review the history of gas hydrate reservoir simulation, discuss methods for creating geologic input models, and summarize the key findings and implications of the collaborative NGHP-02 numerical simulation effort. Together, the studies confirm the viability of the modeled accumulations for scientific testing and identify key challenges related to the selection of specific test sites and the design of test wells.

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Section: Summary Of Numerical Simulation Studies For Nghp-02 Sitesmentioning

confidence: 99%