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Titlebook: Geostatistics Toronto 2021; Quantitative Geology Sebastian Alejandro Avalos Sotomayor,Julian M. Ort Conference proceedings‘‘‘‘‘‘‘‘ 2023 The

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楼主: misperceive
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https://doi.org/10.1007/978-3-211-71573-4 a multivariate simulation case study of a large Nickel deposit. Our findings show that IG is computationally faster than FA and PPMT which makes the technique more appealing for most practical and time-sensitive applications.
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Zur Geschichte des Begriffs Entfremdung,dary variable came from the combination of seismic velocity and geothermal models. The methodology uses Sequential Gaussian Cosimulation with Intrinsic Collocated Cokriging. The results demonstrate the usefulness and applicability of the workflow proposed.
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Iterative Gaussianisation for Multivariate Transformation a multivariate simulation case study of a large Nickel deposit. Our findings show that IG is computationally faster than FA and PPMT which makes the technique more appealing for most practical and time-sensitive applications.
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Comparing and Detecting Stationarity and Dataset Shift to account for dataset shift. The benefits of the lazy learning algorithm are demonstrated on the well-known non-stationary Walker Lake dataset and improves root mean squared error up to 25% relative to standard SVR approach, in areas where dataset shift is present.
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Spatial Uncertainty in Pore Pressure Models at the Brazilian Continental Margindary variable came from the combination of seismic velocity and geothermal models. The methodology uses Sequential Gaussian Cosimulation with Intrinsic Collocated Cokriging. The results demonstrate the usefulness and applicability of the workflow proposed.
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Rechtliche Grundlagen der Entgeltumwandlung,t and proposes a methodology to address the issue of optimising the drilling grid based on uncertainty derived from Gaussian conditional geostatistical simulations. The usefulness of the proposed workflow is demonstrated in terms of saving time and money when selecting a drill hole grid.
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Entgiftungsmittel — Entgiftungsmethodenhigh accuracy using gamma sequences with and without added noise. Further, no feature extraction or selection is performed in this work. Hence, LSTM can be used to detect different signatures in natural gamma logs even with noise. So, this system can be introduced in mining as an aid for geoscientists.
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