All Days 2002
DOI: 10.2118/74364-ms
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Analytical Hindered-Matrix-Fracture Transfer Models for Naturally Fractured Petroleum Reservoirs

Abstract: The previous studies incorporating the matrix-fracture transfer functions in the naturally fractured reservoir models overlooked the effect of the fracture surface conditions on primary petroleum recovery by pressure depletion and secondary oil recovery by waterflooding and capillary imbibition. This paper presents an improved matrix-fracture transfer model and analytical solutions for rectangular shape matrix blocks in naturally fractured petroleum reservoirs by hindered interface flow between matrix blocks a… Show more

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Cited by 17 publications
(14 citation statements)
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“…There have also been recent attempts to find the shape factors for two-phase flow and thermal processes, which are beyond the scope of this work and are not reviewed here [7,10,34]. As an example, Civan and Rasmussen [10] developed an analytical model for rectangular shape matrix blocks.…”
Section: Previous Workmentioning
confidence: 99%
See 1 more Smart Citation
“…There have also been recent attempts to find the shape factors for two-phase flow and thermal processes, which are beyond the scope of this work and are not reviewed here [7,10,34]. As an example, Civan and Rasmussen [10] developed an analytical model for rectangular shape matrix blocks.…”
Section: Previous Workmentioning
confidence: 99%
“…As an example, Civan and Rasmussen [10] developed an analytical model for rectangular shape matrix blocks. They investigated capillary imbibition process in fractured porous media.…”
Section: Previous Workmentioning
confidence: 99%
“…1 can be idealized by a model similar to the cartoon shown in Fig. 2 (Civan and Rasmussen 2002). Fig.…”
Section: Finite-difference Modelmentioning
confidence: 99%
“…1 can be idealized by a model similar to the cartoon shown in Fig. 2 (Civan, et al, 2002). Figure 2 represents the reservoir as a network of matrix blocks of various sizes surrounded by orthogonal fracture sets.…”
Section: Finite-difference Modelmentioning
confidence: 99%