Intelligent digital oilfield (iDOF) operations include the transfer, monitoring, visualization, analysis, and interpretation of real-time data. Enabling this process requires a significant investment to upgrade surface, subsurface, and well instrumentation and also the installation of a sophisticated infrastructure for data transmission and visualization. Once upgraded, the system then has the capability to transfer massive quantities of data, converting it into real information at the right time.

The transformation of raw data into information is achieved through intelligent, automated work processes, which are referred to here as "smart flows," which assist engineers in their daily well surveillance activities, helping make them more productive and improve decision making. A major oil and gas operator in the Middle East has invested in such an infrastructure and is developing a set of smart flows for key activities and workflows for its production operations, with the ultimate goal of improved asset performance.

The Sabriyah Mauddud limestone of north Kuwait is a giant depletion-drive oil reservoir currently under the waterflooding process and is being monitored as part of this iDOF operation. A "smart flow" has been developed for visualization and analysis of the waterflooding performance that uses real-time production data to derive and update daily water saturation and reservoir pressure from numerical simulation. The ultimate goal of the smart flow is to identify and define actions to improve water injection and production over the long term.

This paper explains how this smart flow works-how it automatically runs a reservoir simulator to estimate water saturation and reservoir pressure and iteratively calculates the waterflooding indicators to provide advice to change the water injection on a monthly basis.

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