This paper describes the work process, data management, analysis tools, architecture and capabilities of integrated reservoir management in an intelligent well environment. An example of a "real-time," web-enabled intelligent-well reservoir management system is provided. The challenges associated with implementing the system are described, and benefits realized from its use are documented.
A current hurdle to realizing the economic potential of intelligent wells is the lack of integrated tools and work processes to manage the wealth of production data. The systems described in this paper are designed to overcome this hurdle. The systems are applicable not only to assets employing intelligent wells, but also to conventional assets or those with a mix of intelligent and conventional wells.
Technically, an Internet connection transmits "real-time" data from the wellsite to a central host. The latest in industry standards including communication, security, data warehousing, streaming protocols are utilized. Statistical, nodal analysis and predictive modeling techniques are provided and are continually enhanced in the webenvironment. These allow the petroleum professional to examine what-if scenarios to quantify the effect of changes in reservoir conditions or well geometry and to recommend optimum settings for enhanced recovery.