The Implementation Phase: Improve the Intelligent Field Real-Time Data Reliability Using Key Performance Indices

Abstract

Abstract Nowadays, there is a massive amount of real time data that flows from the intelligent sensors to the petroleum engineers desktop. High quality data is required to utilize in production workflows and technical studies. The reliable transmitted data as real-time pressure and temperature will enable the petroleum engineer to track the performance of the wells, generate production strategies, and monitor the real-time production, and a lot of more workflows remotely from his/her desktop without jeopardizing the well condition or the reservoir structure. In Saudi Aramco, monitoring the quality of real-time data for validity, accuracy, consistency and intelligent field equipment integrity is accomplished via the utilization of state-of-art intelligent field data health monitoring platform. It provides an alarming system of problematic data and equipment. It also generates a daily data quality report for a specific intelligent field data transmission node. This paper is a continuation of the technical paper titled "Intelligent Field Real-Time Data Reliability Key Performance Indices" (IPTC-17997-MS, Kuala Lumpur, Malaysia, 10-12 December 2014). This paper will highlight the tangible benefits of implementing the new monitoring platform in four different examples that show the importance of having intelligent field data reliability tracking solution in each oil and gas company to improve the data reliability. Making the decision process accurate, through utilizing an advanced automated data management platform, is crucial butreceiving real-time quality data is essential.