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

Odd Erik Gundersen, Frode Sørmo, Agnar Aamodt, Pål Skalle


In this article 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.

Full Text:


DOI: http://dx.doi.org/10.1609/aimag.v34i1.2434

Copyright © 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.