Historically the role of data aggregation storage systems has been to acquire and manage real-time drilling data in support of the viewing, analyzing, reporting and preservation of the information provided by service companies during drilling activities. When this practice is applied to all wells in a global organization and additionally available to multiple roles within an operating company the challenges multiply. Global Mnemonics (GM) provides a common mnemonic naming convention that overcomes those challenges. The GM concept attempts to provide a level of standardization to the real-time data acquisiton industry in the realm of naming measured data or computed paramenters. The intent is to allow useful information to be deduced from the names based on regularities. Several service companies supply real-time data services to the oil industry with each company displaying the same or similar data with different names.

This paper explores current applications of GM including the value of abstracting data away from acquisition point naming conventions within a real-time infrastructure. Additionally, we examine complex use cases which are improved by the use of GM. For example – some users only require a standardized real-time data management system to support the preservation of decisions. A completely different class of consumer of the information is looking to the real-time infrastructure to aggregate and abstract the data into the "best available" information at any point in time.

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