排序方式： 共有73条查询结果，搜索用时 140 毫秒
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Olena Babak David F. Machuca-Mory Clayton V. Deutsch 《Stochastic Environmental Research and Risk Assessment (SERRA)》2010,24(3):327-336
Multivariate simulation is an important longstanding problem in geostatistics. Fitting a model of coregionalization to many
variables is intractable and often not permitted; however, the matrix of collocated correlation coefficients is often well
informed. Performing a matrix simulation with LU decomposition of the correlation matrix at each step of sequential simulation
is implemented in some software. The target correlation matrix is not reproduced because of conditioning to local data and
the particular variable ordering in the sequential/LU decomposition. A correction procedure is developed to calculate a modified
correlation matrix that leads to reproduction of the target correlation matrix. The theoretical and practical aspects of this
correction are developed. 相似文献
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In the present study both the synthetic media composition as well as some process parameters in the anaerobic decolorization of Reactive Black 5 (RB5) by activated sludge were studied and optimized using statistical design of experiments (DOEs). Statistical analysis of the results of Plackett–Burman DOE showed that the addition of Mn or Fe, or increase in concentration of Mg, had a positive effect on the anaerobic decolorization efficiency whereas the effect of increase in concentration of glucose, ammonium chloride, and calcium chloride was negative. The effect of change in the concentration of glucose, mixed liquor suspended solid (MLSS), and RB5 on the anaerobic decolorization efficiency and rate and chemical oxygen demand (COD) removal was studied using central composite design methodology. Statistical analysis of the data showed that all the factors had significant effect on both the dye decolorization efficiency and rate. The interaction of glucose with MLSS and with dye and the interaction of MLSS with glucose and with dye were significant when the response was decolorization efficiency and rate, respectively. When COD removal was the response, the effect of change in glucose and MLSS concentration and the interaction between these two factors had statistically significant effect on the response. 相似文献
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Inverse distance interpolation for facies modeling 总被引：1，自引：0，他引：1
Olena Babak 《Stochastic Environmental Research and Risk Assessment (SERRA)》2014,28(6):1373-1382
Inverse distance weighted interpolation is a robust and widely used estimation technique. In practical applications, inverse distance interpolation is oftentimes favored over kriging-based techniques when there is a problem of making meaningful estimates of the field spatial structure. Nowadays application of inverse distance interpolation is limited to continuous random variable modeling. There is a need to extend the approach to categorical/discrete random variables. In this paper we propose such an extension using indicator formalism. The applicability of inverse distance interpolation for categorical modeling is then illustrated using Total’s Joslyn Lease facies data. 相似文献
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Aiyelokun Oluwatobi Pham Quoc Bao Aiyelokun Oluwafunbi Malik Anurag Adarsh S. Mohammadi Babak Linh Nguyen Thi Thuy Zakwan Mohammad 《Natural Hazards》2021,109(2):1557-1588
Natural Hazards - Rainfall intensity or depth estimates are vital input for hydrologic and hydraulic models used in designing drainage infrastructures. Unfortunately, these estimates are... 相似文献
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Bulletin of Earthquake Engineering - Epistemic uncertainty in seismic hazard analysis is traditionally addressed by utilizing a logic-tree structure with subjective probabilities for branches.... 相似文献
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Differential compaction has long been used by seismic interpreters to infer subsurface geology using knowledge of the relative compaction of different types of sediments. We outline a method to infer the gross fraction of shale in an interval between two seismic horizons using sandstone and shale compaction laws. A key component of the method involves reconstruction of a smooth depositional horizon by interpolating decompacted thicknesses from well control. We derive analytic formulae for decompaction calculations using known porosity–stress relations and do not employ discrete layer iterative methods; these formulae were found to depend not only upon the gross fraction of shale but also on the clay content of the shales and the thickness of the interval. The relative merits of several interpolation options were explored, and found to depend upon the structural setting. The method was successfully applied to an oil sands project in Alberta, Canada. 相似文献
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