• A Framework to Capture the Relationships in Drilling Data and the Propagation of Uncertainty

    Drilling oil and gas wells is a complex process with unknowns and involve many disciplines and stakeholders. Yet during drilling engineering and construction of a well, drilling data quality and uncertainty are barely addressed in an auditable and scientific way.  SPE formed a cross-disciplinary technical sub-committee to investigate how to describe and propagate drilling data quality and uncertainty. From the collection of user stories including pain points, a multi-disciplinary workflow—drilling data generators—can now be captured and described. 

    This paper presentation details a user story, extracted from multiple use cases to illustrate how multiple stakeholders and disciplines manage, communicate, and understand the notion of wellbore depth and its relative uncertainty. It describes the development of an initial reference implementation of semantic graph manipulation, the associated vocabulary, and the description of uncertainty and quality notions and their linkage in terms of uncertainty propagation. 

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    This presentation is from the 2022 IADC/SPE International Drilling Conference and Exhibition.   

    • Paper Number: SPE-208754-MS  
    • Published: 1 March 2022  
    • Authors: Eric Cayeux; Carlos Damski; John Macpherson; Moray Laing; Pradeep Annaiyappa; Philip Harbidge; Michael Edwards; Jonathan Carney 

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  • A Framework to Capture the Relationships in Drilling Data and the Propagation of Uncertainty

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