Interaction Between Intelligent Well Applications and Reservoir Management - A comprehensive thermal modeling technology for IWS well


Can we predict how Intelligent Well Systems (IWS) and equipment operate in various wellbore conditions to meet production enhancement targets? This paper presents a developed modeling technique and demonstrates how this technology can guide IWS equipment operations/design to meet production enhancement targets for a
deepwater multiple-zone IWS water injection well.

Since IWS solutions typically address multi-zone (commingled) production or injection wells, it is important to develop a well deliverability model. Within this model, several key features include; a.) Multi-zone inflow/delivery including the unique zonal reservoir and fluid properties, b.) Multiple production/injection flowpaths to accommodate tubing flow for one zone and annulus/tubing flow for other zones, c.) Simulation of the effect upon wellbore pressure and flow distribution due to geometry changes within a completion string (i.e., gravel pack system, flow control equipment, etc), d.) Simulation of the fluid temperature profile and the effect on pressure and flow profile. Industry-available nodal analysis products have historically shown limitations in these types of applications. To fill this purpose, a comprehensive thermal model and an integrated analysis tool have been developed.

The modeling results provide an insight into how choking of downhole valves and tubing wellhead pressure impacts the injection fluid flow distribution. For any IWS operation scenario, the flow distributions, wellbore pressure profile, fluid temperature profile, and the fluid velocity profile can be predicted. This assists in determining any erosion concerns on equipment, flowing differential pressures through the valves and expected loads from temperature changes. This flexibility is the added value, where operators can choose the operational configuration to achieve their production objectives. The model results have been compared with several third party softwares and real case production data. Analysis and comments of the comparison are provided.