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

• Published in: Geosciences journal (Seoul, Korea) Vol. 17; no. 4; pp. 489 - 496
• Main Authors: Jang, Young Ho, Lee, Tae Hun, Jung, Ji Hun, Kwon, Sun Il, Sung, Won Mo
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2013; Springer Nature B.V; 한국지질과학협의회
• Subjects: Basements; Earth and Environmental Science; Earth Sciences; Fractures; Mathematical models; Oil recovery; Petroleum geology; Reservoirs; 지질학; fracture network; naturally fractured reservoir; SA inverse model; oil production; DFN oil flow model
• ISSN: 1226-4806; 1598-7477
• DOI: 10.1007/s12303-013-0034-y

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.