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Multiphase Science and Technology
SJR: 0.183 SNIP: 0.483 CiteScore™: 0.5

ISSN Печать: 0276-1459
ISSN Онлайн: 1943-6181

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Multiphase Science and Technology

DOI: 10.1615/MultScienTechn.2020031786
pages 93-112

NEAR-WELLBORE SIMULATION OF AUTONOMOUS INFLOW CONTROL DEVICES COMPLETION: COMPARING COMPUTATIONAL FLUID DYNAMICS WITH CONVENTIONAL RESERVOIR SIMULATION

Rodrigo Peralta Muniz Moreira
Loughborough University, Epinal Way, Loughborough, LE11 3TU, United Kingdom
Vinicius Girardi
ESSS, Rua Prudente de Morais, 730, Ap. 401, Rio de Janeiro, Brazil
Karolline Ropelato
ESSS, Rua Prudente de Morais, 730, Ap. 401, Rio de Janeiro, Brazil
Lars Kollbotn
Norwegian Research Centre (NORCE), Nygårdsgaten 112, 5008 Bergen, Norway
Ying Guo
Norwegian Research Centre (NORCE), Nygårdsgaten 112, 5008 Bergen, Norway
Sigurd M. Erlandsen
Equinor, Forusbeen 50, 4033 Stavanger, Norway

Краткое описание

Computational fluid dynamics (CFD) was used to model the flow in a wellbore equipped with autonomous inflow control devices (AICDs) in the near-wellbore region and the results were compared with a conventional reservoir simulator. Unlike the reservoir simulator, CFD predicted the flow field not only in the porous domain, but also in the free-flow zones (micro-annulus and AICDs). This allowed the understanding of the flow field in the near-well region and the comprehension of the interactions between the water cone and the action of the AICDs. Some aspects of best practices of CFD simulations were proposed based on comparisons with empirical correlations and experimental data. Under laminar flow in the micro-annulus, the numerical model presented deviations below 40% compared with the reference data (most deviations below 20%). Furthermore, the mesh type at the reservoir domain revealed that the numerical diffusion can adversely affect the formation of the water cone. The best mesh structure among the studied in this work was the structured quad/hexahedral, whereas triangular/tetrahedral meshes should be avoided. Overall, CFD simulations revealed a complex flow pattern that cannot currently be adequately described by conventional reservoir modeling. However, computational cost of CFD simulation was at least 3 weeks in parallel computing (32 CPUs), while reservoir simulation solved the same numerical domain in few minutes in serial calculation.

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