System Proposal for Integrating Quality Control Data of Components of the Brazilian Oil and Gas Industry.

Databooks are the main documents for monitoring and validating a work in the oil industry. However, the analysis of these Databooks requires many man-hours of professionals, and will still be subject to failures during these analyzes. An approach to optimize this task would be to use an intelligent search and validation system for this documentation. Once the documents are scanned, algorithms could assist the professional to analyze these Databooks, based on automatic indexing and checks. A problem that arises from this approach is the difficulty to develop a valid conceptual model for all Databooks found and all types of components and structures subject to inspection procedures. As this modeling is done manually by professionals, this task becomes difficult, slow and often inefficient. To mitigate this problem, this work proposes a system to automatically generate a conceptual model from textual descriptions of the inspection elements, making this task simpler. This is done from the development of an ontology that describes the standardized knowledge on inspection of different types of components of the structure of works for oil platforms for the validation of inspection reports and quality certificates regarding criteria of completeness and compliance.