A NEW APPROACH FOR ESTIMATING COMPRESSIBILITY FACTOR OF NATURAL GAS BASED ON ARTIFICIAL NEURAL NETWORK

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NIKKHOLGH M.R.; MOGHADASSI A.R.; PARVIZIAN F.

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Seminar Paper

Paper Information

Seminar: CHEMICAL ENGINEERING CONGRESS AND EXHIBITION
Year:2009 | Issue:6

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Title

A NEW APPROACH FOR ESTIMATING COMPRESSIBILITY FACTOR OF NATURAL GAS BASED ON ARTIFICIAL NEURAL NETWORK

Author(s)

NIKKHOLGH M.R. | MOGHADASSI A.R. | PARVIZIAN F. | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORK

COMPRESSIBILITY FACTOR

NATURAL GAS

Abstract

IN THIS WORK, THE ABILITY OF ARTIFICIAL NEURAL NETWORK OR ANN BASED ON BACK-PROPAGATION ALGORITHM TO MODELING AND PREDICTING OF COMPRESSIBILITY FACTOR OF NATURAL GAS HAS BEEN INVESTIGATED. THE MSE ANALYSIS BASED ON RESULTS, ARE USED TO VERIFYING THE SUGGESTED APPROACH. RESULTS SHOW, A GOOD AGREEMENT BETWEEN EXPERIMENTAL DATA AND ANN PREDICTIONS. AN IMPORTANT FEATURE OF THE MODEL IS ITS NEEDLESSNESS TO ANY THEORETICAL KNOWLEDGE OR HUMAN EXPERIENCE DURING THE TRAINING PROCESS. THIS WORK CLEARLY SHOWS THE ABILITY OF ANN ON CALCULATING Z-FACTOR FOR NATURAL GAS ONLY BASED ON THE EXPERIMENTAL DATA, INSTEAD OF USING EQUATIONS OF STATE.

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APA: Copy

NIKKHOLGH, M.R., MOGHADASSI, A.R., & PARVIZIAN, F.. (2009). A NEW APPROACH FOR ESTIMATING COMPRESSIBILITY FACTOR OF NATURAL GAS BASED ON ARTIFICIAL NEURAL NETWORK. INTERNATIONAL CHEMICAL ENGINEERING CONGRESS AND EXHIBITION. SID. https://sid.ir/paper/909048/en

Vancouver: Copy

NIKKHOLGH M.R., MOGHADASSI A.R., PARVIZIAN F.. A NEW APPROACH FOR ESTIMATING COMPRESSIBILITY FACTOR OF NATURAL GAS BASED ON ARTIFICIAL NEURAL NETWORK. 2009. Available from: https://sid.ir/paper/909048/en

IEEE: Copy

M.R. NIKKHOLGH, A.R. MOGHADASSI, and F. PARVIZIAN, “A NEW APPROACH FOR ESTIMATING COMPRESSIBILITY FACTOR OF NATURAL GAS BASED ON ARTIFICIAL NEURAL NETWORK,” presented at the INTERNATIONAL CHEMICAL ENGINEERING CONGRESS AND EXHIBITION. 2009, [Online]. Available: https://sid.ir/paper/909048/en

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