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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151308
Doc. No : ET23100
Main Entry : Alexis J. Riera
Title Proper : Predicting Permeability and Flow Capacity Distribution with Back-Propagation Artificial Neural Networks
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : prediction of permeability is a critical, key step for reservoir modeling andmanagement of oil recovery operations. Previous studies have successfully demonstratedthat the new technology called Artificial Neural Network (ANN), a biologically inspired,massive parallel, distributed information processing system, is an excellent tool forpermeability predictions using well log data. This technology overcomes the drawbackscaused by the inherent heterogeneity of the reservoir and lack of sufficient cores orpressure transient tests, allowing to define reservoir characterization within an acceptable.-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46334.pdf
Title and statement of responsibility and : Predicting Permeability and Flow Capacity Distribution with Back-Propagation Artificial Neural Networks [Thesis]
 
 
 
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