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Introduction 2. General overview 3. Geostatistics: a recall of concepts 4. Variogram computation and modeling 6. Common parameter input interfaces 7. Estimation algorithms 8. Stochastic simulation algorithms 9. Utilities Scripting, commands and plug-ins List of programs List of symbols Bibliography. Save to Library. Create Alert.
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Citations Publications citing this paper. Durlofsky Mathematics Mathematical Geosciences Earth Obs. Geoinformation Dimitrakopoulos , Snehamoy Chatterjee Computer Science Olea Geology, Medicine Mathematical Geosciences Alexander Geology A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems M. Tang , Yun-qiang Liu , Louis J. References Publications referenced by this paper.
Accepting a Gaussian model allows building a kriging system to retrieve. Srivastava Strebelle Conversely, a random variable Z can be modeled by the distribution of a number L of simulated values z. Deutsch , Journel Zhang Srivastava Hansen Journel and Mukerji Hu Tarantola, Rossi Related Papers.
Applied Geostatistics with SGeMS: A User's Guide
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