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   a comprehensive benchmark between two filter-based multiple-point simulation algorithms  
   
نویسنده bavand savadkoohi m. ,tokhmechi b. ,gloaguen e. ,arab-amiri a.r.
منبع journal of mining and environment - 2019 - دوره : 10 - شماره : 1 - صفحه:139 -149
چکیده    Computer graphics offer various gadgets to enhance the reconstruction of highorder statistics that are not correctly addressed by the two-point statistics approaches. almost all the newly developed multiplepoint geostatistics (mps) algorithms, to some extent, adapt these techniques to increase the simulation accuracy and efficiency. in this work, a scrutiny comparison between our recently developed mps algorithm, the cross-correlation-wavelet simulation (ccwsim), and a well-known mps algorithm, filtersim, is performed. the main motivation to benchmark these two algorithms is that both exploit some digital image processing filters for feature extraction. indeed, both algorithms compute the similarity (or dissimilarity) between data events in simulation grid and training image in the feature space. in order to compare the accuracy of the algorithms, some statistics such as facies proportion, variogram, and connectivity function are computed. the results obtained reveal an excellent agreement of the ccwsim realizations with the training image rather than filtersim. furthermore, on average, the required simulation runtime for ccwsim is at least 10 times less than that for filtersim.
کلیدواژه multiple-point simulation ,filter-based algorithms ,geostatistical simulation ,filtersim algorithm ,ccwsim algorithm
آدرس shahrood university of technology, faculty of mining, petroleum & geophysics engineering, iran, shahrood university of technology, faculty of mining, petroleum & geophysics engineering, iran, institut national de la recherche scientifique, centre eau terre environnement, canada, shahrood university of technology, faculty of mining, petroleum & geophysics engineering, iran
پست الکترونیکی alirezaarabamiri@yahoo.com
 
     
   
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