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Technical Paper: Intelligent Field Infrastructure: Distributed Intelligence and Retention Based System

Society: SPE
Paper Number: 167826
Presentation Date: 2014
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Abstract

The continuous technology development in different industries and Information Technology domains invites opportunities for porting these capabilities to the upstream domain. Moreover, the goal for increasing overall reservoir performance and operational environment mount higher pressure on the operating companies. Hence, different attempts are made to explore new solutions, optimize processes, and or introducing new enhancements. One approach is to establish parrallelism between the mature industries in pursuit of Intelligent Field Infrastructure (IFI) enhancements.

The IFI success in delivering intended objectives requires embedded intelligence at all layers; from sub-surface, surface, and to the engineer’s desk top. A model that maps the intelligence for these layers to ensure coherence is required. The model depends on hardware, software, and integrated data exchanges that would require altering the conventional operation. In this paper, the authors shares Saudi Armco systematic approach in the concept of technology parallelism and mapping intelligence at each of the IFI layers. The outcomes resulted in actual enhancements by modifying and introducing new capabilities in the IFI infrastructure’s algorithm, hardware and software. This required close collaboration with the different service companies. The final outcome resulted in standard feature capabilities part of the standard Saudi Aramco’s IFI solution for Intelligent Field. Case study with empirical data are used in this paper to demonstrate the enhancements outcomes on the overall operation improvement.

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