The oil production performance analysis using discrete fracture network model with simulated annealing inverse method

Naturally fractured reservoirs generally show high production in early stage, however, the oil might decrease suddenly within a few months. Because the connectivity of fracture network directly affects the oil production, the characterization of its network is extremely important, especially in frac...

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Veröffentlicht in:Geosciences journal (Seoul, Korea) 2013, 17(4), , pp.489-496
Hauptverfasser: Jang, Young Ho, Lee, Tae Hun, Jung, Ji Hun, Kwon, Sun Il, Sung, Won Mo
Format: Artikel
Sprache:eng
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Zusammenfassung:Naturally fractured reservoirs generally show high production in early stage, however, the oil might decrease suddenly within a few months. Because the connectivity of fracture network directly affects the oil production, the characterization of its network is extremely important, especially in fracture basement reservoirs. In order to characterize the fracture network, we have developed integrated system of fracture generation and discrete fracture network flow model coupling with simulated annealing inversion method. With the utilization of the model, parameters (fracture density, Fisher’s constant) of fracture network were analyzed. As a result, even though the same values of parameters were applied, different network systems were observed. Therefore, further study is essential to obtain unique fracture network system.
ISSN:1226-4806
1598-7477
DOI:10.1007/s12303-013-0034-y