Abstract
The reported effort is intended to develop a semi-automated, knowledge-based, and integrated petroleum well-drilling engineering design system, considering various aspects such as drill-string [40] and casing design models. The goal was to significantly increase the dynamic drilling engineering responsiveness to real field changes through the automation of conceptual design and 3D modeling processes. Built-in rules and knowledge are used to develop the conceptual design; the system then automatically generates the assembly configuration and retrieves part specifications from a data sheet to generate the CAD parameter files. These parameter files are used to further generate the full CAD model. The conceptual design and CAD models are integrated in such a way that any changes in the design can be reflected automatically throughout the system. Hopefully, this chapter serves not only as an example application for feature-based design, but also as a research reference for the energy industry to leverage modern informatics advancement for its efficiency and cost effectiveness.
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Acknowledgments
The authors would like to thank the Natural Sciences and Engineering Research Council of Canada (NSERC) for its Discovery grant support (No. 355454-09) and the University of Alberta for the faculty startup grant.
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Rahman, R.S.M., Ma, YS. (2013). An Example of Feature Modeling Application: Smart Design for Well-Drilling Systems. In: Ma, Y. (eds) Semantic Modeling and Interoperability in Product and Process Engineering. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-5073-2_3
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