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

Authors

  • Odd Erik Gundersen http://www.verdandetechnology.com
  • Frode Sørmo Verdande Technology
  • Agnar Aamodt Norwegian Unversity of Science and Technology
  • Pål Skalle Norwegian University of Science and Technology

DOI:

https://doi.org/10.1609/aimag.v34i1.2434

Abstract

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.

Author Biographies

Odd Erik Gundersen, http://www.verdandetechnology.com

Development Director

Frode Sørmo, Verdande Technology

Chief Technology Officer

Agnar Aamodt, Norwegian Unversity of Science and Technology

Professor, Department of Computer and Information Science

Pål Skalle, Norwegian University of Science and Technology

Associate Professor, Department of Petrolem Engineering and Applied Geophsics

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Published

2012-12-06

How to Cite

Gundersen, O. E., Sørmo, F., Aamodt, A., & Skalle, P. (2012). A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations. AI Magazine, 34(1), 21. https://doi.org/10.1609/aimag.v34i1.2434

Issue

Section

Articles