Successful intelligent field (I-Field) implementation relies on a robust real time field to desktop data acquisition and delivery system. Such systems should have the bandwidth and the resilience to meet I-Field data acquisition and delivery requirements including data type, frequency, resolution, security, integrity, quality and reliability. The system must also have a design that safeguards against loss of data.

Saudi Aramco's earliest I-Field implementation projects were at Qatif and Haradh. These projects were instrumental in developing Saudi Aramco I-Field data acquisition and delivery requirements for reservoir and production engineers. The projects revealed limitations and challenges in the data acquisition and delivery infrastructure. Composed of several stages of interconnected systems supported by multiple organizations, these systems included surface and subsurface instrumentations, servers (data acquisition, control, database and applications) and various network protocols. System complexities and constraints dictated the need for developing an I-Field data acquisition and delivery infrastructure architecture that would meet Saudi Aramco's I-Field application requirements and overcome existing challenges and limitations.

This paper presents Saudi Aramco's experience and methodology of assessing field-to-desktop data acquisition and delivery infrastructure of the pilot project fields. It also highlights examples of some of the inherited challenges and implementation of the newly adopted data acquisition and delivery architecture. The adopted architecture, methodology, and subsequent experience gained in overcoming these challenges now serve as a guide to further intelligent field implementation in other Saudi Aramco fields.

You can access this article if you purchase or spend a download.