JOURNAL ARTICLE
A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations
Odd Erik GundersenFrode SørmoAgnar AamodPål Skalle
Year: 2012 Journal: Proceedings of the AAAI Conference on Artificial Intelligence Vol: 26 (2)Pages: 2209-2216 Publisher: Association for the Advancement of Artificial Intelligence
Abstract
In this paper we present DrillEdge - a commercial and award winning software system that monitors oil-well drilling operations in order to reduce non-productive time (NPT). DrillEdge utilizes case-based reasoning with temporal representations on streaming real-time data, pattern matching and agent systems to predict problems and give advice on how to mitigate the problems. The methods utilized, the architecture, the GUI and development cost in addition to two case studies are documented.
Keywords:
Computer science Architecture Matching (statistics) Drilling Order (exchange) Software Software engineering Real-time computing Operations research Systems engineering Engineering Operating system Business
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12
Cited By
1.88
FWCI (Field Weighted Citation Impact)
16
Refs
0.93
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Is in top 1%
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Citation History
Topics
AI-based Problem Solving and Planning
Physical Sciences → Computer Science → Artificial Intelligence
Reservoir Engineering and Simulation Methods
Physical Sciences → Engineering → Ocean Engineering
Business Process Modeling and Analysis
Social Sciences → Business, Management and Accounting → Management Information Systems
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