Open AccessA Real‐Time Decision Support System for High Cost Oil Well Drilling Operations
Author(s) -
Gundersen Odd Erik,
Sørmo Frode,
Aamodt Agnar,
Skalle Pål
Publication year - 2013
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v34i1.2434
Subject(s) - computer science , drilling , matching (statistics) , architecture , software , order (exchange) , real time computing , software engineering , engineering , programming language , mechanical engineering , art , statistics , mathematics , finance , economics , visual arts
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.