Taras Mychailovych Matviykiv, Vasyl Mykolaiovych Teslyuk
In this paper, influence diagrams are used for modeling and analysis of the decision-making process when shocks and vibrations occur while drilling oil and gas wells. Mathematical formalism of influence diagrams are based on Bayesian networks and allows combining graphical representation of a process with its probabilistic behavior. Influence diagrams allow to perform real-time analysis of possible situation scenarios and to increase decision-making confidence in drilling automation process. The decision making process is analyzed and a model of object-oriented influence diagram is build and tested for a shock and vibration decision making situation. A study shows that influence diagrams are a powerful tool for decision support and can be used in drilling automation and drilling control systems development.
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