التنبؤ بقيم النفاذية في حقل عودة باستخدام أنظمة الذكاء الاصطناعي

Abstract EN

This study aimed to obtain the permeability by the application of Artificial Intelligence Systems technology in a well where no core samples have been taken with accuracy close to the values of permeability resulting from the core analysis.

The inputs and the targets outputs parameters have been determined، and the data base was splitted into the training data set and the testing data set; the orders of inputs and outputs of the training data set have been trained to obtain the most accurate results، and the results of the testing data set were tested to ensure the performance and the outputs have been compared with the results of the core analysis.

The difference between the two values was calculated which presents the error values in the prediction، and finally generalized، and thus high-precision results in a well was obtained that doesn’t have core analysis for the.

The neural network technology was helpful which are available in the matlab software and Interactive Petrophysics -V3.5