The drive to implement the latest and optimal Intelligent Field Infrastructure (IFI) is a continuous aim for Oil & Gas operators. This requires the right balance between technology, business drivers, and evolving implementation requirements. A successful Intelligent Field implementation relies on a robust real time field to desktop data acquisition and delivery system designed with clearly defined data acquisition requirements. The data acquisition requirements definition should include data type, acquisition frequency, resolution, integrity, quality and reliability. The data acquisition and delivery system requires built in dynamics from design, technology selection, and deployment to operational maintainability. The challenge in achieving such an objective exuberates by the different variables that must be considered when addressing IFI integrated solution. The variables to be considered in the solution shall include network coverage, hardware selection, software solutions, and feature functionalities. The solution shall be able to integrate different technologies: surface and subsurface gauges and subsystems; forming data collection, for real-time reservoir management and production operation, such as temperature, pressure, flow characteristic, etc.

This paper presents Saudi Aramco's experience and methodology of developing IFI, field-to-desktop data acquisition and delivery infrastructure, for new fields. It highlights critical components for the IFI building blocks and the most optimal approach in addressing them. Reflection on previous case studies is used to illustrate concepts and to outline best practices and lesson learned.

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