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 with key well operations and monitoring, 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 work flows for its production operations, with the ultimate goal of improved asset performance.

Well testing and production allocation are vital for identifying and resolving problem wells and for identifying candidate wells to optimize production and maximize a field's potential and asset value. But with traditional tools and methods, this work is time-consuming and requires many low-value tasks (data gathering, cleaning, etc.) leaving little time for the high-value analysis work. To expedite, prioritize, and simplify well testing and related analyses, the Well Performance Evaluation (WPE) smart flow has been developed.

This paper presents and describes the WPE, how it works, and how it is delivering value today. WPE features advanced data visualization that includes interactive charts, enabling production engineers to execute well testing daily, select the most critical wells for testing based on an expert system, verify well test data with advanced data filtering and qualification technology, execute and fit updated nodal analysis models on demand, in seconds, to recommend the optimal well output, and provide recommended actions to operations personnel to increase production.

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