An Architecture for Multi-Dimensional Temporal Abstraction Supporting Decision Making in Oil-Well Drilling

Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 23)

Abstract

We have developed an online decision support system that advice drilling engineers online based on data streams of real-time rig site measurements. This is achieved by combining multi-dimensional abstraction for recognizing symptoms and case based reasoning. Case-based reasoning compares the current situation in the well with past situations stored in the case base that contains advices for how to solve similar problems. The architecture is described in detail, and an example is presented in depth as well as results of commercial deployment.

Keywords

case-based reasoning real-data stream oil-will drilling integrated decision support 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Verdande Technology ASTrondheimNorway
  2. 2.Department of Computer and Information ScienceNorwegian University of Science and TechnologyTrondheimNorway

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