Akademik Veri Yönetim Sistemi
2nd International Discrete Fracture Network Engineering Conference, DFNE 2018, Washington, Amerika Birleşik Devletleri, 20 - 22 Haziran 2018
Hydrocarbon production is usually restricted by excess water production in naturally fractured reservoirs. Polymer
gel injection is an efficient method to shut-off fracture conduits in water bearing zones. Efficiency of water shut-off
may decrease in time due to several reasons. Well diagnostic methods such as recovery plot, production history plot
and decline curve analysis can be used to identify necessity to re-gel the well. Both of the surveillance methods require
some sort of analytical modeling and may not identify performance loss in due time. In this study, we propose the
use of pressure build up test analysis as diagnostic tool to optimize re-treatment time. To achieve this goal a highly
fractured heavy oil reservoir going through polymer injection is modeled using discrete fracture network (DFN)
modelling approach where it is used as a tool for providing fracture properties to the dual-porosity fluid flow simulator.
DFN model is created by using available fracture parameters. The model is then calibrated by conditioning it to well
test data obtained from a heavily fractured field located in South East Turkey. A CMG STARS single well/dualporosity
numerical model whose fracture properties are populated by the DFN model results is used to model polymer
injection. Once the matches obtained with DFN populated dual porosity model were obtained, several synthetic
pressure build up tests were conducted to estimate skin factor as well as permeability which are markers used for regel
treatment performance. It was concluded that well test analysis is an efficient tool to estimate the time of re-gel
operation.