An Application of Sensor and Streaming Analytics to Oil
Viswanathan, Krishnamurthy; Gupta, Chetan; Lakshminarayan, Choudur; Hao, Ming; Dayal, Umeshwar; Vennelakanti, Ravigopal; Helm, Paul; Rangaiah, Sumitha; Sagiraju, Harikrishnam-Raju; Doddmani, Sunil
Keyword(s):sensor; streaming; business intelligence
Abstract: At HP Labs, we are building "Live Operational Intelligence (Live OI) System" - a system that ingests streams of operational data generated by multiple sources such as sensors and operational logs, and provides the operational staff real time insights in terms of suggested actions, event correlations, and predictions, root cause analysis and visualization. In Live OI some models are learned offline and then deployed online, and some models are learnt online. It also supports querying of historical data to find past occurrences of patterns and suggested actions, and a dashboard for humans to monitor and interact with the operational system. This paper describes the highlights of the Live OI system, as applied to monitoring oil production operation, through the discussion of use cases.
External Posting Date: October 6, 2011 [Abstract]. Approved for External Publication
Internal Posting Date: October 6, 2011 [Fulltext]