Yazar "Yunsel, Tayfun Yusuf" seçeneğine göre listele

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    In-situ coal quality variability analysis by combining Gaussian co-simulation and a JavaScript
    (Taylor & Francis Inc, 2019) Yunsel, Tayfun Yusuf
    This study covers an in-situ analysis of simulated coal quality attribute variations of a power plant in Tufanbeyli/Adana, Turkey. Three main coal quality variables including calorific value, sulfur and ash content were simulated by Sequential Gaussian co-simulation method. The results were validated by a number of tests. A this-study-specific JavaScript is written to reveal the variations of coal qualities in a specific extraction route and capacity for both short and long-term production planning and scheduling. Results declared that the JavaScript successfully reflected the simulated variations in the candidate route and very adaptable to similar studies easily.
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    Simulation of cement raw material deposits using plurigaussian technique
    (De Gruyter Poland Sp Zoo, 2018) Yunsel, Tayfun Yusuf
    Plurigaussian simulation is a powerful and very effective technique for modelling subsurface rock type domain distribution and in-situ mining reserve analysis. Modelling of subsurface to reveal the rock type distribution plays a key role for raw material extraction planning and plant operations such as extraction, transportation and comminution strategies. Because, the raw material distribution defines the plant operations and final product quality (cement modulus). This study addresses the application of plurigaussian simulation technique to reveal the subsurface rock type distribution of a cement raw material deposit in Turkey. The rock type domains include the limestone, clayey limestone, marl and sandstone which are the basic four rock type classes effecting the cement modulus in the field. The simulation process is carried out using these four rock type data on a determined grid system. A series of tests are made for the validation of the plurigaussian simulation. As a result, the rock type distributions are presented as both 2D-3D graphics and tabulated. The limestone is found as a dominant rock type in the deposit. The marl - a natural clinker - is another widespread raw material in the field and is found interbedded with limestone across the study field. The unwanted sandstone existence exhibited a sparse distribution in reserve body. The results indicated that, the deposit can provide the required raw material for the plant, showing the localised rock type distribution. A detailed raw material extraction planning and scheduling may be made using the results of this study.
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    Öğe
    The assessment of soil contamination by heavy metals using geostatistical sequential Gaussian simulation method
    (Taylor & Francis Inc, 2018) Ersoy, Adem; Yunsel, Tayfun Yusuf
    Soil contamination by heavy metals is continuously increasing with a great attention in the world. Because, these elements negatively affect living life and the ecosystem. A total of 652 surface soil samples were collected at 100, 200, 400m regular grid intervals from the study area in Turkey. The observed data does not show normal distribution. Cell declustering was done due to fact that data are not normal. Directional experimental semivariogram of the Cu and Ni showed that both geometric and zonal anisotropy exists in the data. Pb, Zn, Cr and Ba are qualified with omnidirectional experimental semivariogram models. The semivariograms characterized by spherical and Gaussian models of the elements were achieved. Geostatistical sequential Gaussian simulation (SGS) was applied to the study. A hundred simulated realizations depicted the spatial distribution and uncertainty of the elements in the site using a probabilistic approach which produced maps of the heavy metals. These maps showed contaminated and uncontaminated areas in the study site. The results revealed that 23%, 27%, and 24% of the study area at 60% probability were contaminated by the heavy metals including Cu, Cr, and Ni respectively. SGS results have been verified by a number of tests.