High frequency reservoir surveillance data become available in an increasing number of oil and gas fields.

Real-time data from both reservoir and surface facilities open the possibility to control and consequently optimize field production in real-time.

This real-time control would be a step forward to the industry's next goal - The Smart Field.

An integrated software and data approach is presented based on Data Mining methods<sup>1</sup>. In this paper, the "Automation Task" concept is discussed which allows automation of data processing, event detection and user notification. An Expert System interface enables the surveillance engineer to program the software in order to run on a 24/7 basis.

Time savings in routine reservoir surveillance and accelerated production through faster and better reservoir management decision were identified as premium goals.

Keywords:
surveillance, upstream oil & gas, increment, software, spe 83974, automation task, artificial intelligence, constraint, data mining, optimization
Subjects:
Well & Reservoir Surveillance and Monitoring, Information Management and Systems, Data mining, Artificial intelligence
Copyright 2003, Society of Petroleum Engineers
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