Discrete fracture network modeling and gel injection simulation in fractured carbonates

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2015

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Soltanieh, Ashkan

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Discrete Fracture Network (DFN) model is a recently developed, efficient approach to model fractured reservoirs. This model directly takes into account the geometry as well as conductivity and connectivity of fractures forming a network. It is a special tool that considers fluid flow and transport processes in fractured rock masses through a system of connected fractures. Because of fractured nature of carbonate reservoirs, hydrocarbon production is usually restricted by excess water production. Polymer gel injection can be considered as a method to shutoff fracture conduits in water bearing zones. In this study, a highly fractured heavy oil reservoir going through polymer injection is modeled using DFN approach where it is used as a tool for upscaling fracture properties to the dual-porosity fluid flow simulator. DFN model is created by conditioning the model set to some available fracture parameters. The rest of the parameters are estimated by stochastic correlations to existing fracture parameters. The model is then validated by conditioning it to well test data obtained from a heavily fractured fıeld located in South East Turkey. A CMG STARS single well/dual-porosity numerical model whose fracture properties are populated by the DFN model results is used to model polymer injection. It is observed that the matches obtained with DFN populated dual porosity model is acceptable. Finally, scenarios studies were conducted to identify and optimize polymer gel injection parameters.

Subject Keywords

Fracture mechanics., Materials, Carbonates., Colloids., Oil wells.

URI

http://etd.lib.metu.edu.tr/upload/12618342/index.pdf
https://hdl.handle.net/11511/24357

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

A. Soltanieh, “Discrete fracture network modeling and gel injection simulation in fractured carbonates,” M.S. - Master of Science, Middle East Technical University, 2015.