A Real‐Time Decision Support System for High Cost Oil Well Drilling Operations

In this paper we present DrillEdge — a commercial and award‐winning software system that monitors oil well drilling operations in order to reduce nonproductive time (NPT). DrillEdge utilizes case‐based reasoning with temporal representations on streaming real‐ime data, pattern matching, and agent sy...

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Veröffentlicht in:	The AI magazine 2013-03, Vol.34 (1), p.21-32
Hauptverfasser:	Gundersen, Odd Erik, Sørmo, Frode, Aamodt, Agnar, Skalle, Pål
Format:	Artikel
Sprache:	eng
Schlagworte:	Age differences Applied sciences Artificial intelligence Awards & honors Best practice Case studies Computer science control theory systems Crude oil, natural gas and petroleum products Decision making Decision support systems Drilling Drilling methods and equipments. Rocks mechanics. Directional and horizontal drilling Drilling. Casing. Preparing wells for production Economic aspects Energy Engineers Equipment and supplies Exact sciences and technology Fuels Information systems. Data bases Memory organisation. Data processing Natural language Oil and gas field equipment Oil and gas field equipment industry Oil field equipment Oil fields Oil well drilling Oil wells Problem solving Prospecting and production of crude oil, natural gas, oil shales and tar sands Real time Schank, Roger C Software Software engineering Software quality Software upgrading
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Beschreibung
Zusammenfassung:	In this paper we present DrillEdge — a commercial and award‐winning software system that monitors oil well drilling operations in order to reduce nonproductive time (NPT). DrillEdge utilizes case‐based reasoning with temporal representations on streaming real‐ime data, pattern matching, and agent systems to predict problems and give advice on how to mitigate the problems. We document the methods utilized, the architecture, the GUI. and the development cost in addition to two case studies.
ISSN:	0738-4602 2371-9621
DOI:	10.1609/aimag.v34i1.2434