Abstract

The paper presents the case study of first successful Autonomous Inflow control Device (AICD) application in the GCC region. The AICD works on the principle of viscosity difference of the produced fluids and resists the unwanted fluid (water) to maximize the oil flow rates. The innovative design overcomes the subsurface uncertainty and changes due to dynamic reservoir behavior (changes in Sw, water break through, fracture etc.) by facilitating oil flow through a short and direct path of least resistance, thereby reducing watercut and increasing oil production rates relatively.

The paper elaborates the design considerations and implementation methodology for AICD completion installed in a watered out well of naturally fractured reservoir. A rapid increase in watercut was observed soon after commissioning the well on ESP which resulted in rapid decline in oil production rates. An integrated subsurface approach was adopted to analyse the problem, evaluate probable causes and identify potential remedial for the subject oil well. The subsurface and production data including seismic, borehole image, open hole and production logs, etc. were incorporated through a pragmatic approach in the design process. The conventional Inflow Control Device (ICD) was also compared to establish the added value.

In the end, the results of the successful AICD deployment are presented which indicate 400% increase in oil production with significant drop in watercut. The well is currently on production has produced 3 times more cumulative as compared to the pre-workover cumulative in 2.5 years. Overall, the AICD deployment resulted in overcoming the reservoir heterogeneity and improved sweep efficiency with a significant gain ultimate recovery from the well.

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