An application of sensor and streaming analytics to oil production
Authors: 
Krishnamurthy Viswanathan, Chetan Gupta, Choudur Lakshminarayan, Ming Hao, Umeshwar Dayal, Ravigopal Vennelakanti, Paul Helm, Sumitha Rangaiah, Harikrishnam-Raju Sagiraju, Sunil DoddmaniAuthors Info & Claims
Article No.: 18, Pages 1 - 8
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, predictions, root cause analysis and visualization. In a Live OI framework some models are learnt offline and then deployed online, and some models are learnt online. Live OI system 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.
References
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Index Terms
- An application of sensor and streaming analytics to oil production
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Information
Published In
December 2011
122 pages
- Conference Chair:
- Vaishali Sadaphal,
- General Chair:
- Jayant R Haritsa,
- Program Chairs:
- Umeshwar Dayal,
- Prasad M Deshpande
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Publisher
Computer Society of India
Mumbai, Maharashtra, India
Publication History
Published: 19 December 2011
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- Research-article
Conference
COMAD '11
COMAD '11: Proceedings of the 17th International Conference on Management of Data
December 19 - 21, 2011
Bangalore, India
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