A real-time decision support system for high cost oil well drilling operations

Abstract

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 realtime 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. Copyright © 2013, Association for the Advancement of Artificial Intelligence.