Summary: Advances in Drilling Technology - E-proceedings of the First International Conference on Drilling Technology (ICDT - 2010) and National
Workshop on Manpower Development in Petroleum Engineering (NWMDPE - 2010), November 18-21, 2010.
ISBN: 978-93-80689-03-6, Copyright © 2010 by the Indian Institute of Technology Madras, Chennai (TN) - 600 036, India.
Transfer of experience for improved oil well drilling
Pål Skalle, Agnar Aamodt and Odd Erik
Norwegian University of Science and Technology, NTNU, Norway
The drilling process is getting increasingly more complex as oil fields mature and technology evolves. At the same time, the amount of information is
increasing in volume and frequency. Although technology is advancing, failures do occur, leading to loss of valuable time. When ever the process is
running smoothly or is failing , valuable experience is gained. However, experience attrition is a well-docum ented problem. To take advantage of
established and continually growing new experience a formalized methodolog y, case-based reasoning, was applied in a d ecision support system for
capture and reuse of drilling operators' experience. A case describes an episode during drilling, its circumstances and method to repair the problem. A
general domain knowledge model, an ontology, supports the case-based process. In this paper we focus on ho w experience can be c aptured and
transferred from different information sources and then stored in cases. It was demonstrated how the system was able to recommend how problems
can be solved when they arise, while at the same time bridgin g the gap between new and experienced personnel. The quality of selecting the most
relevant experience was proven through perform ance testing of 62 field cases. The s ystem was used to identify root causes of pr oblems that had
happened as well as to suggest repair actions.
KEYWORDS: Oil well drilling, experience transfer, ontology, drilling failure, downtime, case-based reasoning, symptoms
The motivation behind the work presented h ere is to adv ance computerized methods for helping the p etroleum industry in reducing unwanted