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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2016 Vol.6(1): 18-24 ISSN: 2010-3697
DOI: 10.7763/IJMO.2016.V6.497

The Use of Least Square, Matrix Decomposition and Compression Techniques for Oil and Gas Pipeline Simulation

Dai-Xi Xie and Da-Cheng Mei
Abstract—Oil and gas pipeline transmission network simulation is important for the petroleum industry. Existing node method monitors node pressure, simulate pipeline flow rate, and identify different risks. However, it may not be efficient enough to meet the real-time requirement. In this paper, we propose to improve the node method with two techniques. Using the node method, Comparing real data, average deviation, goodness of fit and height of matrix should be raised. First, the least square method is employed to replace the fluid distribution method. Second, matrix decomposition and compression are applied to matrix calculation. Experiments are undertaken on synthesis networks with different sizes. Results show that the new method is at least twice faster than the counterpart.

Index Terms—Pipeline network, simulation, sparse matrix.

The authors are with school of computer science, Southwest Petroleum University, Chengdu, China (e-mail. xiedaisy@163.com)


Cite: Dai-Xi Xie and Da-Cheng Mei, "The Use of Least Square, Matrix Decomposition and Compression Techniques for Oil and Gas Pipeline Simulation," International Journal of Modeling and Optimization vol. 6, no. 1, pp. 18-24, 2016.

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