An overview of case-based reasoning applications in drilling engineering

Authors:
Samad Valipour Shokouhi;Pål Skalle;Agnar Aamodt
Affiliations:
Department of Petroleum Technology (IPT), Norwegian University of Science and Technology (NTNU), Trondheim, Norway;Department of Petroleum Technology (IPT), Norwegian University of Science and Technology (NTNU), Trondheim, Norway;Department of Computer and Information Science (IDI), Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Venue:
Artificial Intelligence Review
Year:
2014

Citing 8
Cited 0

Case-based reasoning

Case-based reasoning
Case-based reasoning: foundational issues, methodological variations, and system approaches

AI Communications
Dynamic Memory: A Theory of Reminding and Learning in Computers and People

Dynamic Memory: A Theory of Reminding and Learning in Computers and People
A Case Based System for Oil and Gas Well Design with Risk Assessment

Applied Intelligence
Integrations with case-based reasoning

The Knowledge Engineering Review
CBR for Advice Giving in a Data-Intensive Environment

Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge

ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Improved efficiency of oil well drilling through case based reasoning

PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Application-oriented research in the area of case-based reasoning has moved mature research results into practical applications. This paper presents an overview of different applications of case-based reasoning (CBR) in petroleum engineering, with focus on the drilling process, based on a survey and comparative evaluation of different applications. The numbers of papers, research groups, and experimental systems are indicative of the importance, need, and growth of CBR in different industries. A clear growing trend has been seen in the oil and gas industry over the last 5---10 years. In this paper we present the evolving story of CBR applied to problems in drilling engineering. We show that drilling engineering is an application domain in which the systematic storage and situation-triggered reuse of past concrete experiences provide significant support to drilling personnel at various levels. Some CBR systems have been successfully deployed in operational settings. With increased understanding of the complexity of drilling operations and continuous development of CBR and combined methods, the future potential is significantly higher.