Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge

Authors:
Samad Valipour Shokouhi;Agnar Aamodt;Pål Skalle;Frode Sørmo
Affiliations:
Department of Petroleum Technology (IPT),;Department of Computer and Information Science (IDI), Norwegian University of Science and Technology (NTNU), Trondheim, Norway NO-7491;Department of Petroleum Technology (IPT),;Verdande Technology AS, Trondheim, Norway
Venue:
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Year:
2009

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Abstract

Oil well drilling is a complex process which frequently leads to operational problems. In order to deal with some of these problems, knowledge intensive case based reasoning (KiCBR) has clearly shown potential. An important problem in oil well drilling is hole cleaning, in which a high number of observed parameters and other features are involved. This paper presents how to determine the root causes of poor hole cleaning episodes by means of KiCBR. This will help the drilling crew to apply a proper remedy. The effect of general domain knowledge was demonstrated in a comparative study, in which improved results in terms of similarity assessment and explanation capability were achieved.