Development of Steam Distribution Network Simulation Program for Enhanced Oil Recovery
Petroleum Science and Engineering
Volume 2, Issue 1, June 2018, Pages: 25-32
Received: Mar. 23, 2018; Accepted: Apr. 12, 2018; Published: May 14, 2018
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Ahmed Mahrous Norelden, Department of Engineering Sciences, Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt
Ahmed Safwat Nafey, Department of Engineering Sciences, Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt
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Steam injection networks are widely used in processes of Thermal Enhanced Oil Recovery (TEOR). It is desirable to maintain both the quality and flow rate of steam injected into the formation at certain specified values for optimum operation of the steam flood. This requires a surface distribution network designed to deliver uniform-quality steam to all wells. Unfortunately, unequal splitting of the liquid and vapor phases may occur at (tee junction) distribution network therefore Individual wells thus receive non-uniform and unknown distribution of the steam liquid and vapor. Unknown liquid and vapor phase distributions leads to inefficient project management, increased operating expenses and thereby detriment of the wells production. Simulation programs are important tools to monitor and evaluate steam distribution network. The main objective of this thesis is to develop a computer program to evaluate steam quality at well head of oil fields. Based on the Seeger model, a computer program for simulating the behavior of a large steam injection network was developed based on Mat Lab Graphical User Interface (GUI). Using this program a complete picture for the steam distribution network variables such as pressure, temperature and steam quality can be determined.
Steam Distribution Network, T-junction, Two-Phase Flow, EOR
To cite this article
Ahmed Mahrous Norelden, Ahmed Safwat Nafey, Development of Steam Distribution Network Simulation Program for Enhanced Oil Recovery, Petroleum Science and Engineering. Vol. 2, No. 1, 2018, pp. 25-32. doi: 10.11648/j.pse.20180201.14
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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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