prosperity
发表于 2025-3-30 08:37:02
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LAY
发表于 2025-3-30 12:50:29
A Statistical Technique for Modelling Non-stationary Spatial Processes the evoloved stationary model, and provide an interpretable view of the local effects underlying the process. The method employs a Bayesian formulation with Markov Chain Monte Carlo(MCMC) sampling, and is demonstrated using a 1D Doppler function, and 2D precipitation data from Scotland.
visceral-fat
发表于 2025-3-30 19:26:52
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直言不讳
发表于 2025-3-31 00:20:19
3D Geological Modelling and Uncertainty: The Potential-field Methoddata, which can be considered as derivatives of the potential. This makes it possible to associate sensible cokriging standard deviations to the potential-field estimates and to translate them into uncertainties in the 3D model.
锯齿状
发表于 2025-3-31 02:06:28
Book 2005from the last four years. Not all of these ideas will stand the test of time and practice; however, their originality will endure. The practical applications in these proceedings provide nuggets of wisdom to those struggling to apply geostatistics in the best possible way. Students and practitioners
hereditary
发表于 2025-3-31 07:03:53
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BIAS
发表于 2025-3-31 10:06:58
Spectral Component Geologic Modeling: A New Technology for Integrating Seismic Information at the Coessed to first honor the target histogram and then well data. In addition to honoring one single global variogram model, as do traditional geostatistical algorithms, SCGM has the capability to model local variations or trends in the continuity range and dominant azimuth direction of spatial continui
PANIC
发表于 2025-3-31 15:28:08
Direct Geostatistical Simulation on Unstructured Gridse of multiple facies within an unstructured grid block, and (6) accounting for directional permeability that does not average linearly. Direct simulation on unstructured grids is made practical by addressing these six considerations.
Intend
发表于 2025-3-31 18:47:12
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finale
发表于 2025-3-31 23:38:32
0924-1973however, their originality will endure. The practical applications in these proceedings provide nuggets of wisdom to those struggling to apply geostatistics in the best possible way. Students and practitioners978-1-4020-3610-1Series ISSN 0924-1973 Series E-ISSN 2215-1834