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Information Seminar Paper

Title

CALCULATING OIL PROPERTIES OF IRANIAN CRUDE OIL WITH THE HELP OF NEURAL NETWORK

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Abstract

 IN THIS ARTICLE IN ORDER TO ESTIMATE THE VISCOSITY OF CRUDE OIL, A NUMERICAL METHOD HAS BEEN USED. WE USE THIS METHOD TO MEASURE THE CRUDE OIL’S VISCOSITY FOR 3 STATES: SATURATED OIL’S VISCOSITY, VISCISITY ABOVE THE BUBBLE POINT AND VISCOSITY UNDER THE SATURATION PRESSURE. THEN THE CRUDE OIL’S VISCOSITY IS ESTIMATED BY USING KHAN MODEL AND ROLLER BALL METHOD. AFTER THAT USING THESE DATA THAT INCLUDE EFFICIENT CONDITIONS IN MEASURING VISCOSITY, THE ESTIMATED VISCOSITY BY THE PRESENTED METHOD, A RADIAL BASED NEURAL METHOD, IS TAUGHT. THIS NETWORK IS A KIND OF TWO LAYERED ARTIFICIAL NEURAL NETWORK THAT ITS STIMULATION FUNCTION OF HIDDEN LAYER IS GAUSSIAN FUNCTION AND TEACHING ALGORITHMS ARE USED TO TEACH THEM. AFTER TEACHING RADIAL BASED NEURAL NETWORK, RESULTS OF EXPERIMENTAL METHOD AND ARTIFICIAL INTELLIGENCE ARE COMPARED ALL TOGETHER. TEACHING THIS NETWORK, WE ARE ABLE TO ESTIMATE CRUDE OIL' VISCOSITY WITHOUT USIG KHAN MODEL AND EXPERIMENTAL CONDITIONS AND UNDER ANY OTHER CONDITION WITH ACCEPTABLE ACCURACY. RESULTS SHOW THAT RADIAL NEURAL NETWORK HAS HIGH CAPABILITY OF ESTIMATING CRUDE OIL. SAVING IN TIME AND COST IS ANOTHER ADVANTAGE OF THIS INVESTIGATION.

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    APA: Copy

    MOKHTARIAN, NADER, MEMARI, ABDOLREZA, & MOUSAVI, SEYED MOHAMMAD. (2014). CALCULATING OIL PROPERTIES OF IRANIAN CRUDE OIL WITH THE HELP OF NEURAL NETWORK. NATIONAL CONFERENCE ON HYDROCARBON RESERVOIR ENGINEERING, SCIENCE AND RELATED INDUSTRIES. SID. https://sid.ir/paper/919765/en

    Vancouver: Copy

    MOKHTARIAN NADER, MEMARI ABDOLREZA, MOUSAVI SEYED MOHAMMAD. CALCULATING OIL PROPERTIES OF IRANIAN CRUDE OIL WITH THE HELP OF NEURAL NETWORK. 2014. Available from: https://sid.ir/paper/919765/en

    IEEE: Copy

    NADER MOKHTARIAN, ABDOLREZA MEMARI, and SEYED MOHAMMAD MOUSAVI, “CALCULATING OIL PROPERTIES OF IRANIAN CRUDE OIL WITH THE HELP OF NEURAL NETWORK,” presented at the NATIONAL CONFERENCE ON HYDROCARBON RESERVOIR ENGINEERING, SCIENCE AND RELATED INDUSTRIES. 2014, [Online]. Available: https://sid.ir/paper/919765/en

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