This paper describes the integration of intelligent well systems into sandface completions for reservoir inflow control in deepwater. In deepwater subsea applications, the ability to remotely control the inflow of water eliminates costly rig intervention while extending well life and increasing recoverable reserves. In deepwater Brazil, a completion design qualification process has been completed integrating an open hole horizontal gravel pack completion with mechanical zonal isolation with a proven, all-electric intelligent well system. The planning, testing and implementation of these technologies will be detailed in this paper. Deepwater Brazil continues to be a region where the need to improve economic performance in deepwater drives the implementation of new technologies. Horizontal gravel pack completions were implemented into deepwater subsea Brazil in 1998. To date, more than 48 successful subsea horizontal gravel packs have been performed for both production and injection wells. Further improving the economics of operating in deepwater, implementation of Level 5 Multilateral wells in the Campos Basin was initiated in 1999. As the success of open hole horizontal gravel packing continued to show economic benefit, it became necessary to provide positive zonal isolation in conjunction with gravel packing. Application of diverter valve technology to achieve zonal isolation was successfully implemented in 5five subsea wells in the Campos Basin during the year 2001. The zonal isolation and long reach of horizontal wells provide the operator with the ability to selectively drain a reservoir and achieve the lowest development cost per barrel oil equivalent (BOE).The fully electric intelligent well system consisting of 3-½" and 5-½" inflow control devices was successfully deployed on land in the Mosorro Field. The purpose of the installation was to prove the technology before transferring the application into subsea wells. These valves were operated remotely from the office location. After months of successful actuation and data acquisition, the system was pulled and installed in a subsea well. During the land based well test, it was deemed necessary to modify the volumes of data stored. Software modifications were made to optimize the rate of data storage. In order to integrate the Intelligent Well System into the sand control completion, a process of optimization was necessary to meet well construction and operational requirements. This process was inclusive of well path design to reach the targeted well location while controlling dogleg severity to allow placement of the intelligent well system (inflow control), all while minimizing operational risk during installation. This is the first application of an all-electric remotely operated intelligent well system integrated into a sandface completion for the purpose of reservoir production management.

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