Closing the Integration Gap for the Next Generation of Drilling Decision Support Systems (original) (raw)

SPE Intelligent Energy Conference & Exhibition, 2014

Abstract

ABSTRACT 1. Description of the material: Development of real-time computer-assisted decision support tends to focus on the challenges of integrating data silos and integrating disparate computer systems. Often the integration and decision support is seen as a means towards a greater level of automation. However, these integration efforts, which are fundamentally integration between computers, may have negative effects on the integration of the human with the computers. This is a known dilemma in the automation industry and we identify it as one of the larger integration gaps facing intelligent energy. We will here focus on decision support during critical events in drilling and outline a roadmap for closing the integration gap. 2. Application: Application is in the concurrent design of work processes and supporting technology surrounding drilling operations, carried out by operators and service companies. 3. Results, Observations, and Conclusions: Following a review of recent trends in decision support systems, we identify limitations of current approaches and show how the now prevalent onshore collaboration centers allow the design of fundamentally new alarm and decision support systems. In particular, we identify day-to-day and real-time maintenance of computer models as a key task for supporting the team's shared understanding of the drilling operation. We also identify critical situations in which current decision support systems are performing poorly and suggest ways of improving this. 4. Significance of subject matter: The paper counters the more naïve arguments equating increased automation with increased efficiency and define design criteria for the smart decision support systems of the future.

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