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

  • Samad Valipour Shokouhi
  • Agnar Aamodt
  • Pål Skalle
  • Frode Sørmo
Conference paper

DOI: 10.1007/978-3-642-02998-1_36

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5650)
Cite this paper as:
Shokouhi S.V., Aamodt A., Skalle P., Sørmo F. (2009) Determining Root Causes of Drilling Problems by Combining Cases and General Knowledge. In: McGinty L., Wilson D.C. (eds) Case-Based Reasoning Research and Development. ICCBR 2009. Lecture Notes in Computer Science, vol 5650. Springer, Berlin, Heidelberg

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.

Keywords

Case-based knowledge intensive oil well drilling 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Samad Valipour Shokouhi
    • 1
  • Agnar Aamodt
    • 2
  • Pål Skalle
    • 1
  • Frode Sørmo
    • 3
  1. 1.Department of Petroleum Technology (IPT)Norway
  2. 2.Department of Computer and Information Science (IDI)Norwegian University of Science and Technology (NTNU)TrondheimNorway
  3. 3.Verdande Technology ASTrondheimNorway

Personalised recommendations