الفهرس 
Title : Quantification and prediction of carbonate diagenesis from well logs and core data by artificial neural network
SummaryOnly 14 pages are availabe for public view
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Abstract
The application of artificial neural networks (ANNs) is used successfully to generate a numerical scale for diagenesis quantification from 0 to 10 with specified particular range for each type of diagenesis. It enhances identifying the rock typing and generated a link between geological and reservoir modeling. Also, a mathematical correlation is generated to directly predict the quantification of diagenesis in carbonate rocks in the study area